Research
Human Robot Interaction, Human Robot Interactions
Machine Learning Model, Machine Learning Models, Machine Learning Modeling
Autonomous Vehicles, Autonomous Vehicle
Motion Planning
Imitation Learning
Reinforcement Learning
Abductive Reasoning
Uncommon Situations
Unstructured Environments
Modular System
Policy Improvement
Safety Constraints
Mobile Manipulation
State Estimation, State Estimators
Physical Properties
Learning Online
Trade Offs
Full Scale Helicopter
Vector Field, Vector Fields
Bayesian Approach
High Performance
Low Cost
Model Uncertainty
Safe Flight
Continuous Space
Surface Tension
Image Classification
Local Information
Case Study, Case Studies
Markov Chains
Safe Navigation
Unmanned Aerial Vehicles, Unmanned Aerial Vehicle
Upper Bounds
Alternate Routes
Associated Production
Agricultural Robots
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.
Found on Publication Page
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
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.
Found on Publication Page
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.
Found on Publication Page
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.
Found on Publication Page
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.
Found on Publication Page
40
Constrained CHOMP using dual projected newton method. S Choudhury, S Scherer Carnegie Mellon University, 2016.
Found on Publication Page
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.
Found on Publication Page
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.
Found on Publication Page
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.
Found on Publication Page
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.
Found on Publication Page
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.
Found on Publication Page
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.
Found on Publication Page
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.
Found on Publication Page
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.
Found on Publication Page
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.
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
In 2009
20
A coverage planning algorithm for agricultural robots. S Choudhury, S Singh Technical Report, 2009.
Found on Publication Page
In 1998
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.
Found on Publication Page
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
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
11
Studies in Physical Properties of Different Blood Sera. Part III. Viscosity. RN Chopra, SG Choudhury .
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
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, ... .
Found on Publication Page
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.
Found on Publication Page