Sanjiban Choudhury

Profile Picture of Sanjiban Choudhury
Title
Assistant Professor
Department
Computer Science
Institution
Cornell University

Education

  • PhD, Robotics, Carnegie Mellon University

Research Interests

Human Robot Interaction, Human Robot Interactions   Machine Learning Model, Machine Learning Models, Machine Learning Modeling   Autonomous Vehicles, Autonomous Vehicle  

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Biography

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Homepages

Contact Information

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Research
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List of Publications (124)
In 2024
124

Accelerating Inverse Reinforcement Learning with Expert Bootstrapping. D Wu, S Choudhury arXiv preprint arXiv:2402.02608, 2024.

Found on Publication Page
123

Goal-based Motion Forecasting. S Choudhury, S Kumar, M Marchetti-Bowick US Patent App. 18/471,690, 2024.

Found on Publication Page
122

MOSAIC: A Modular System for Assistive and Interactive Cooking. H Wang, K Kedia, J Ren, R Abdullah, A Bhardwaj, A Chao, KY Chen, ... arXiv preprint arXiv:2402.18796, 2024.

Found on Publication Page
121

Learning shared safety constraints from multi-task demonstrations. K Kim, G Swamy, Z Liu, D Zhao, S Choudhury, SZ Wu Advances in Neural Information Processing Systems 36, 2024.

Found on Publication Page
120

Training machine learning model (s), in simulation, for use in controlling autonomous vehicle (s). JA Bagnell, A Venkatraman, S Choudhury US Patent 11,989,020, 2024.

Found on Publication Page
119

Systems and Methods Related to Controlling Autonomous Vehicle (s). JA Bagnell, S Choudhury, V Narayanan, A Venkatraman US Patent App. 18/582,149, 2024.

Found on Publication Page
118

Hybrid inverse reinforcement learning. J Ren, G Swamy, ZS Wu, JA Bagnell, S Choudhury arXiv preprint arXiv:2402.08848, 2024.

Found on Publication Page
117

Interact: Transformer models for human intent prediction conditioned on robot actions. K Kedia, A Bhardwaj, P Dan, S Choudhury 2024 IEEE International Conference on Robotics and Automation (ICRA), 621-628, 2024.

Found on Publication Page
116

Systems and methods related to controlling autonomous vehicle (s). JA Bagnell, S Choudhury, V Narayanan, A Venkatraman US Patent 11,952,015, 2024.

Found on Publication Page
115

Systems and methods related to controlling autonomous vehicle (s). JA Bagnell, A Venkatraman, S Choudhury, V Narayanan US Patent App. 18/269,209, 2024.

Found on Publication Page
114

One-Shot Imitation under Mismatched Execution. K Kedia, P Dan, S Choudhury arXiv preprint arXiv:2409.06615, 2024.

Found on Publication Page
113

Systems and methods for autonomous vehicle validation. JA Bagnell, S Choudhury, ML Phillips, A Venkatraman, X Yan US Patent 12,084,085, 2024.

Found on Publication Page
112

APRICOT: Active Preference Learning and Constraint-Aware Task Planning with LLMs. H Wang, N Chin, G Gonzalez-Pumariega, X Sun, N Sunkara, MA Pace, ... arXiv preprint arXiv:2410.19656, 2024.

Found on Publication Page
111

Better than Your Teacher: LLM Agents that learn from Privileged AI Feedback. S Choudhury, P Sodhi arXiv preprint arXiv:2410.05434, 2024.

Found on Publication Page
110

Learning to Move Like Professional Counter Strike Players. D Durst, F Xie, V Sarukkai, B Shacklett, I Frosio, C Tessler, J Kim, C Taylor, ... Computer Graphics Forum, e15173, 2024.

Found on Publication Page
109

Revisiting successor features for inverse reinforcement learning. AK Jain, H Wiltzer, J Farebrother, I Rish, G Berseth, S Choudhury ICML 2024 Workshop on Models of Human Feedback for AI Alignment, 2024.

Found on Publication Page
108

Demo2code: From summarizing demonstrations to synthesizing code via extended chain-of-thought. Y Wang, G Gonzalez-Pumariega, Y Sharma, S Choudhury Advances in Neural Information Processing Systems 36, 2024.

Found on Publication Page
107

Systems and methods related to controlling autonomous vehicle (s). JA Bagnell, A Venkatraman, S Choudhury, V Narayanan US Patent App. 18/269,200, 2024.

Found on Publication Page
106

The Virtues of Pessimism in Inverse Reinforcement Learning. D Wu, G Swamy, JA Bagnell, ZS Wu, S Choudhury arXiv preprint arXiv:2402.02616, 2024.

Found on Publication Page
In 2023
105

UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations. W Zhao, JT Chiu, JD Hwang, F Brahman, J Hessel, S Choudhury, Y Choi, ... arXiv preprint arXiv:2311.08469, 2023.

Found on Publication Page
104

Goal-based motion forecasting. S Choudhury, S Kumar, M Marchetti-Bowick US Patent 11,801,871, 2023.

Found on Publication Page
103

Manicast: Collaborative manipulation with cost-aware human forecasting. K Kedia, P Dan, A Bhardwaj, S Choudhury arXiv preprint arXiv:2310.13258, 2023.

Found on Publication Page
102

The blindfolded traveler's problem: A search framework for motion planning with contact estimates. B Saund, S Choudhury, S Srinivasa, D Berenson The International Journal of Robotics Research 42 (4-5), 289-309, 2023.

Found on Publication Page
101

Demo2code: From summarizing demonstrations to synthesizing code via extended chain-of-thought. H Wang, G Gonzalez-Pumariega, Y Sharma, S Choudhury Proceedings of the 37th International Conference on Neural Information ..., 2023.

Found on Publication Page
100

A game-theoretic framework for joint forecasting and planning. K Kedia, P Dan, S Choudhury 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems ..., 2023.

Found on Publication Page
99

GuILD: Guided Incremental Local Densification for Accelerated Sampling-based Motion Planning. R Scalise, A Mandalika, B Hou, S Choudhury, SS Srinivasa 2023 IEEE International Conference on Robotics and Automation (ICRA), 10212 ..., 2023.

Found on Publication Page
98

The virtues of laziness in model-based rl: A unified objective and algorithms. A Vemula, Y Song, A Singh, D Bagnell, S Choudhury International Conference on Machine Learning, 34978-35005, 2023.

Found on Publication Page
97

Inverse reinforcement learning without reinforcement learning. G Swamy, D Wu, S Choudhury, D Bagnell, S Wu International Conference on Machine Learning, 33299-33318, 2023.

Found on Publication Page
In 2022
96

Impossibly good experts and how to follow them. A Walsman, M Zhang, S Choudhury, D Fox, A Farhadi The Eleventh International Conference on Learning Representations, 2022.

Found on Publication Page
95

Expert intervention learning: An online framework for robot learning from explicit and implicit human feedback. J Spencer, S Choudhury, M Barnes, M Schmittle, M Chiang, P Ramadge, ... Autonomous Robots, 1-15, 2022.

Found on Publication Page
94

Minimax optimal online imitation learning via replay estimation. G Swamy, N Rajaraman, M Peng, S Choudhury, J Bagnell, SZ Wu, J Jiao, ... Advances in Neural Information Processing Systems 35, 7077-7088, 2022.

Found on Publication Page
93

Causal imitation learning under temporally correlated noise. G Swamy, S Choudhury, D Bagnell, S Wu International Conference on Machine Learning, 20877-20890, 2022.

Found on Publication Page
92

Sequence model imitation learning with unobserved contexts. G Swamy, S Choudhury, J Bagnell, SZ Wu Advances in Neural Information Processing Systems 35, 17665-17676, 2022.

Found on Publication Page
91

Towards uniformly superhuman autonomy via subdominance minimization. B Ziebart, S Choudhury, X Yan, P Vernaza International Conference on Machine Learning, 27654-27670, 2022.

Found on Publication Page
90

Human-Scale Mobile Manipulation Using RoMan. Kessens, C C., Kaplan, Matthew, T Rocks, PR Osteen, J Rogers, E Stump, ... Journal of Field Robotics 2, 1232-1262, 2022.

Found on Publication Page
89

Game-Theoretic Algorithms for Conditional Moment Matching. G Swamy, S Choudhury, JA Bagnell, ZS Wu arXiv preprint arXiv:2208.09551, 2022.

Found on Publication Page
In 2021
88

What Would the Expert do ( )?: Causal Imitation Learning. G Swamy, S Choudhury, D Bagnell, S Wu Deep RL Workshop of Neural Information Processing Systems, 2021.

Found on Publication Page
87

A critique of strictly batch imitation learning. G Swamy, S Choudhury, JA Bagnell, ZS Wu arXiv preprint arXiv:2110.02063, 2021.

Found on Publication Page
86

Bayesian residual policy optimization:: Scalable bayesian reinforcement learning with clairvoyant experts. G Lee, B Hou, S Choudhury, SS Srinivasa 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems ..., 2021.

Found on Publication Page
85

Learning online from corrective feedback: A meta-algorithm for robotics. M Schmittle, S Choudhury, SS Srinivasa arXiv preprint arXiv:2104.01021, 2021.

Found on Publication Page
84

Imitation learning as f-divergence minimization. L Ke, S Choudhury, M Barnes, W Sun, G Lee, S Srinivasa Algorithmic Foundations of Robotics XIV: Proceedings of the Fourteenth ..., 2021.

Found on Publication Page
83

Of moments and matching: A game-theoretic framework for closing the imitation gap. G Swamy, S Choudhury, JA Bagnell, S Wu International Conference on Machine Learning, 10022-10032, 2021.

Found on Publication Page
82

Guided incremental local densification for accelerated sampling-based motion planning. A Mandalika, R Scalise, B Hou, S Choudhury, SS Srinivasa arXiv preprint arXiv:2104.05037, 2021.

Found on Publication Page
81

Of moments and matching: Trade-offs and treatments in imitation learning. G Swamy, S Choudhury, ZS Wu, JA Bagnell arXiv preprint arXiv:2103.03236 8, 2021.

Found on Publication Page
80

Feedback in imitation learning: The three regimes of covariate shift. J Spencer, S Choudhury, A Venkatraman, B Ziebart, JA Bagnell arXiv preprint arXiv:2102.02872, 2021.

Found on Publication Page
In 2020
79

Blending mpc & value function approximation for efficient reinforcement learning. M Bhardwaj, S Choudhury, B Boots arXiv preprint arXiv:2012.05909, 2020.

Found on Publication Page
78

Autonomous aerial cinematography in unstructured environments with learned artistic decision making. R Bonatti, W Wang, C Ho, A Ahuja, M Gschwindt, E Camci, E Kayacan, ... Journal of Field Robotics 37 (4), 606-641, 2020.

Found on Publication Page
77

ICS: Incremental constrained smoothing for state estimation. P Sodhi, S Choudhury, JG Mangelson, M Kaess 2020 IEEE International Conference on Robotics and Automation (ICRA), 279-285, 2020.

Found on Publication Page
76

Posterior sampling for anytime motion planning on graphs with expensive-to-evaluate edges. B Hou, S Choudhury, G Lee, A Mandalika, SS Srinivasa 2020 IEEE International Conference on Robotics and Automation (ICRA), 4266-4272, 2020.

Found on Publication Page
75

Learning from Interventions. J Spencer, S Choudhury, M Barnes, M Schmittle, M Chiang, P Ramadge, ... Robotics: Science and Systems, 2020.

Found on Publication Page
74

Toward fieldable human-scale mobile manipulation using RoMan. CC Kessens, J Fink, A Hurwitz, M Kaplan, PR Osteen, T Rocks, J Rogers, ... Artificial Intelligence and Machine Learning for Multi-Domain Operations ..., 2020.

Found on Publication Page
73

Bayesian Residual Policy Optimization: Scalable Bayesian Reinforcement Learning with Clairvoyant Experts. G Lee, B Hou, S Choudhury, SS Srinivasa arXiv preprint arXiv:2002.03042, 2020.

Found on Publication Page
72

Learning from interventions: Human-robot interaction as both explicit and implicit feedback. J Spencer, S Choudhury, M Barnes, M Schmittle, M Chiang, P Ramadge, ... 16th Robotics: Science and Systems, RSS 2020, 2020.

Found on Publication Page
71

A bayesian active learning approach to adaptive motion planning. S Choudhury, SS Srinivasa Robotics Research: The 18th International Symposium ISRR, 33-40, 2020.

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In 2019
70

The blindfolded robot: A bayesian approach to planning with contact feedback. B Saund, S Choudhury, S Srinivasa, D Berenson The International Symposium of Robotics Research, 443-459, 2019.

Found on Publication Page
69

Publication Submission Form. S Choudhury, V Dugar, S Maeta, B MacAllister, S Arora, D Althoff, ... Journal Article 36 (8), 1275-1332, 2019.

Found on Publication Page
68

High performance and safe flight of full scale helicopters from takeoff to landing with an ensemble of planners. S Choudhury, V Dugar, S Maeta, B MacAllister, S Arora, D Althoff, ... Journal of Field Robotics 36 (8), 1275-1332, 2019.

Found on Publication Page
67

Towards a robust aerial cinematography platform: Localizing and tracking moving targets in unstructured environments. R Bonatti, C Ho, W Wang, S Choudhury, S Scherer 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems ..., 2019.

Found on Publication Page
66

MuSHR: A low-cost, open-source robotic racecar for education and research. SS Srinivasa, P Lancaster, J Michalove, M Schmittle, C Summers, ... arXiv preprint arXiv:1908.08031, 2019.

Found on Publication Page
65

Generalized Lazy Search for Robot Motion Planning: Interleaving Search and Edge Evaluation via Event-based Toggles. A Mandalika, S Choudhury, O Salzman, S Srinivasa International Conference on Automated Planning and Scheduling (ICAPS), 2019.

Found on Publication Page
64

Leveraging Experience in Lazy Search. M Bhardwaj, S Choudhury, B Boots, S Srinivasa Robotics: Science and Systems, 2019.

Found on Publication Page
63

Bayesian Policy Optimization for Model Uncertainty. G Lee, B Hou, A Mandalika, J Lee, SS Srinivasa International Conference on Learning Representations (ICLR), 2019.

Found on Publication Page
62

LEGO: Leveraging experience in roadmap generation for sampling-based planning. R Kumar, A Mandalika, S Choudhury, S Srinivasa 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems ..., 2019.

Found on Publication Page
In 2018
61

Publication Submission Form. M Bhardwaj, S Choudhury, B Boots, S Srinivasa, S Arora, A Kapoor, ... Journal Article 37 (13), 1632-1672, 2018.

Found on Publication Page
60

Data-driven planning via imitation learning. S Choudhury, M Bhardwaj, S Arora, A Kapoor, G Ranade, S Scherer, ... The International Journal of Robotics Research 37 (13-14), 1632-1672, 2018.

Found on Publication Page
59

Bayes-CPACE: PAC Optimal Exploration in Continuous Space Bayes-Adaptive Markov Decision Processes. G Lee, S Choudhury, B Hou, SS Srinivasa arXiv preprint arXiv:1810.03048, 2018.

Found on Publication Page
58

Autonomous drone cinematographer: Using artistic principles to create smooth, safe, occlusion-free trajectories for aerial filming. R Bonatti, Y Zhang, S Choudhury, W Wang, S Scherer International Symposium of Experimental Robotics (ISER), 2018.

Found on Publication Page
57

Bayesian Active Edge Evaluation on Expensive Graphs. S Choudhury, S Srinivasa, S Scherer International Joint Conferences on Artificial Intelligence (IJCAI), 2018.

Found on Publication Page
56

Hindsight is only 50/50: Unsuitability of MDP based approximate POMDP solvers for multi-resolution information gathering. S Arora, S Choudhury, S Scherer arXiv preprint arXiv:1804.02573, 2018.

Found on Publication Page
55

Adaptive motion planning. S Choudhury Carnegie Mellon University, 2018.

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In 2017
54

Near-optimal edge evaluation in explicit generalized binomial graphs. S Choudhury, S Javdani, S Srinivasa, S Scherer Advances in neural information processing systems 30, 2017.

Found on Publication Page
53

Anytime motion planning on large dense roadmaps with expensive edge evaluations. S Choudhury, O Salzman, S Choudhury, CM Dellin, SS Srinivasa arXiv preprint arXiv:1711.04040, 2017.

Found on Publication Page
52

Adaptive Information Gathering via Imitation Learning. S Choudhury, A Kapoor, G Ranade, S Scherer, D Dey Proceedings of Robotics: Science and Systems, 2017.

Found on Publication Page
51

A ite in the wind: Smooth trajectory optimization in a moving reference frame. V Dugar, S Choudhury, S Scherer 2017 IEEE International Conference on Robotics and Automation (ICRA), 109-116, 2017.

Found on Publication Page
50

Learning to gather information via imitation. S Choudhury, A Kapoor, G Ranade, D Dey 2017 IEEE International Conference on Robotics and Automation (ICRA), 908-915, 2017.

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49

Smooth trajectory optimization in wind: First results on a full-scale helicopter. V Dugar, S Choudhury, S Scherer AHS Forum 73, 2017, 2017.

Found on Publication Page
48

A Bayesian Active Learning Approach to Adaptive Motion Planning. SS Sanjiban Choudhury International Symposium on Robotics Research (ISRR), 2017.

Found on Publication Page
47

Densification Strategies for Anytime Motion Planning over Large Dense Roadmaps. S Choudhury, O Salzman, S Choudhury, SS Srinivasa IEEE Conference on Robotics and Automation (ICRA), 2017.

Found on Publication Page
46

Learning Heuristic Search via Imitation. M Bhardwaj, S Choudhury, S Scherer Conference on Robot Learning (CoRL), 2017.

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In 2016
45

Regionally accelerated batch informed trees (rabit*): A framework to integrate local information into optimal path planning. S Choudhury, JD Gammell, TD Barfoot, SS Srinivasa, S Scherer 2016 IEEE International Conference on Robotics and Automation (ICRA), 4207-4214, 2016.

Found on Publication Page
44

Nonholonomic motion planning in partially unknown environments using vector fields and optimal planners. GAS Pereira, S Choudhury, S Scherer Congresso Brasileiro de Automatica (CBA), 2016.

Found on Publication Page
43

Kinodynamic Motion Planning on Vector Fields using RRT. SCSS Guilherme A. S. Pereira Robotics Institute, Pittsburgh, PA, Tech. Rep. CMU-RI-TR-16-35, 2016.

Found on Publication Page
42

A framework for optimal repairing of vector field-based motion plans. GAS Pereira, S Choudhury, S Scherer 2016 International Conference on Unmanned Aircraft Systems (ICUAS), 261-266, 2016.

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41

List prediction applied to motion planning. A Tallavajhula, S Choudhury, S Scherer, A Kelly 2016 IEEE International Conference on Robotics and Automation (ICRA), 213-220, 2016.

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40

Constrained CHOMP using dual projected newton method. S Choudhury, S Scherer Carnegie Mellon University, 2016.

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In 2015
39

Autonomous exploration and motion planning for an unmanned aerial vehicle navigating rivers. S Nuske, S Choudhury, S Jain, A Chambers, L Yoder, S Scherer, ... Journal of Field Robotics 32 (8), 1141-1162, 2015.

Found on Publication Page
38

List prediction for motion planning: Case Studies. A Tallavajhula, S Choudhury Robotics Institute, Pittsburgh, PA, Tech. Rep. CMU-RI-TR-15-25, 2015.

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37

Emergency maneuver library-ensuring safe navigation in partially known environments. S Arora, S Choudhury, D Althoff, S Scherer 2015 IEEE international conference on robotics and automation (ICRA), 6431-6438, 2015.

Found on Publication Page
36

The planner ensemble: Motion planning by executing diverse algorithms. S Choudhury, S Arora, S Scherer 2015 IEEE International Conference on Robotics and Automation (ICRA), 2389-2395, 2015.

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35

The dynamics projection filter (DPF)-real-time nonlinear trajectory optimization using projection operators. S Choudhury, S Scherer 2015 IEEE International Conference on Robotics and Automation (ICRA), 644-649, 2015.

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34

TALOS: An unmanned cargo delivery system for rotorcraft landing to unprepared sites. J Paduano, J Wissler, G Drozeski, M Piedmonte, N Dadkhah, J Francis, ... American Helicopter Society, 1-17, 2015.

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33

Theoretical limits of speed and resolution for kinodynamic planning in a poisson forest. S Choudhury, S Scherer, JA Bagnell Robotics: Science and Systems, 2015.

Found on Publication Page
32

Lower and upper bounds for the survival of infinite absorbing Markov chains. S Choudhury Technical Report CMU-RI-TR-05-04, Robotics Institute, Pittsburgh, PA 3 (6), 2015.

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In 2014
31

A principled approach to enable safe and high performance maneuvers for autonomous rotorcraft. S Arora, S Choudhury, D Althoff, S Scherer American Helicopter Society 70th Annual Forum. AHS, 2014.

Found on Publication Page
30

Learning motion planning assumptions. A Vemula, S Choudhury, S Scherer Carnegie Mellon University Techinial Report, 2014.

Found on Publication Page
29

The planner ensemble and trajectory executive: A high performance motion planning system with guaranteed safety. S Choudhury, S Arora, S Scherer AHS 70th Annual Forum, 2014.

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In 2013
28

RRT*-AR: Sampling-based alternate routes planning with applications to autonomous emergency landing of a helicopter. S Choudhury, S Scherer, S Singh 2013 IEEE International Conference on Robotics and Automation, 3947-3952, 2013.

Found on Publication Page
27

Sparse tangential network (SPARTAN): Motion planning for micro aerial vehicles. H Cover, S Choudhury, S Scherer, S Singh 2013 IEEE International Conference on Robotics and Automation, 2820-2825, 2013.

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26

Measurement of associated production of vector bosons and top quark-antiquark pairs in pp collisions at root s= 7 TeV. M Besancon, F Hartmann, K Kanishchev, M Kirakosyan, B Stieger, ... PHYSICAL REVIEW LETTERS 110 (17), 2013.

Found on Publication Page
25

Autonomous Emergency Landing of a Helicopter: Motion Planning with Hard Time-Constraints. S Choudhury, S Scherer, S Singh American Helicopter Society International 69th Annual Forum 2, 2013.

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In 2012
24

Realtime alternate routes planning: the rrt*-ar algorithm. S Choudhury, S Scherer, S Singh Robotics Institute, Pittsburgh, PA, Tech. Rep. CMU-RI-TR-12-27, 2012.

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23

Bootstrapping Image Classification with Sample Evaluation. V Narayanan, R Desai, S Choudhury .

Found on Publication Page
In 2011
22

Application of reinforcement learning in robot soccer. S Choudhury Kharagpur: Dissertation. Indian Institute of Technology, 82, 2011.

Found on Publication Page
21

Designing deception in adversarial reinforcement learning. S Choudhury, AK Deb, J Mukherjee .

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In 2009
20

A coverage planning algorithm for agricultural robots. S Choudhury, S Singh Technical Report, 2009.

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In 1998
19

Publication Submission Form. ISM Bending, NNBF Detection Journal Article 47 (1), 135-140, 1998.

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In 1989
18

A conglomerate in the Banded Gneissic Complex of South Rajasthan and its correlation problem. U Bose, S CHOUDHURY, I CHOUDHURY, AK Saxena, AK Mathur Indian Minerals 43 (1), 1-6, 1989.

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In 1985
17

Alterations in isoproterenol-induced cardiac metabolic changes by perhexiline. SD Seth, S Choudhury, SC Manchanda, MP Gupta, JB Gupta .

Found on Publication Page
Unspecified
16

Video2Demo: Grounding Videos in State-Action Demonstrations. Y Sharma, H Wang, KY Chen, MA Pace, S Choudhury .

Found on Publication Page
15

Studies in the Physical Properties of Different Blood Sera. Part IV. Filariasis. RN Chopra, SG Choudhury, SS Rao .

Found on Publication Page
14

On the Causation o Formol-Gel Reaction in Kala-Azar. Part I. RN Chopra, SG Choudhury .

Found on Publication Page
13

Efficient Inverse Reinforcement Learning without Compounding Errors. NE Dice, G Swamy, S Choudhury, W Sun First Reinforcement Learning Safety Workshop, 0.

Found on Publication Page
12

The EoIe of Surface Tension on the Activity of Cinchona Alkaloids. RN Chopra, SG Choudhury .

Found on Publication Page
11

Studies in Physical Properties of Different Blood Sera. Part III. Viscosity. RN Chopra, SG Choudhury .

Found on Publication Page
10

Action of Antimony Compounds on the Adrenals. RN Chopra, JC Gupta, SG Choudhury .

Found on Publication Page
9

What Would the Expert ?: Causal Imitation Learning. G Swamy, S Choudhury, D Bagnell, S Wu .

Found on Publication Page
8

Complementing a Policy with a Different Observation Space. G Swamy, S Choudhury, D Bagnell, S Wu .

Found on Publication Page
7

Policy Improvement Over an Alternate Observation Space. G Swamy, S Choudhury, JA Bagnell, ZS Wu .

Found on Publication Page
6

Publication Submission Form. GAS Pereira, S Choudhury, S Scherer .

Found on Publication Page
5

Bayesian Residual Policy Optimization. G Lee, B Hou, S Choudhury, SS Srinivasa .

Found on Publication Page
4

Residual Bayesian Q-Learning for Meta-Reinforcement Learning with Experts. G Lee, S Choudhury, B Hou, SS Srinivasa .

Found on Publication Page
3

Collision Posteriors on Graphs with Expensive-to-Evaluate Edges. B Hou, S Choudhury, G Lee, M Barnes, SS Srinivasa .

Found on Publication Page
2

Referees for JFR Vol 35 (2018). M Adams, H Ahmadzadeh, H Aly, J Anthonis, S Arora, T Asfour, T Ba c a, ... .

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1

MOSAIC: Modular Foundation Models for Assistive and Interactive Cooking. H Wang, K Kedia, J Ren, R Abdullah, A Bhardwaj, A Chao, KY Chen, ... 8th Annual Conference on Robot Learning, 0.

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