Sanjiban Choudhury

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 93

Top Topics

Unstructured Environments

Markov Decision Processes

Imitation Learning

Motion Planning

Top Venues

Publications

David Wu, Sanjiban Choudhury
Accelerating Inverse Reinforcement Learning with Expert Bootstrapping. CoRR (2024)
Huaxiaoyue Wang, Kushal Kedia, Juntao Ren, Rahma Abdullah, Atiksh Bhardwaj, Angela Chao, Kelly Y. Chen, Nathaniel Chin, Prithwish Dan, Xinyi Fan, Gonzalo Gonzalez-Pumariega, Aditya Kompella, Maximus Adrian Pace, Yash Sharma, Xiangwan Sun, Neha Sunkara, Sanjiban Choudhury
MOSAIC: A Modular System for Assistive and Interactive Cooking. CoRR (2024)
Juntao Ren, Gokul Swamy, Zhiwei Steven Wu, J. Andrew Bagnell, Sanjiban Choudhury
Hybrid Inverse Reinforcement Learning. CoRR (2024)
David Wu, Gokul Swamy, J. Andrew Bagnell, Zhiwei Steven Wu, Sanjiban Choudhury
The Virtues of Pessimism in Inverse Reinforcement Learning. CoRR (2024)
Wenting Zhao, Justin T. Chiu, Jena D. Hwang, Faeze Brahman, Jack Hessel, Sanjiban Choudhury, Yejin Choi, Xiang Li, Alane Suhr
UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations. NAACL-HLT (2024)
Kushal Kedia, Atiksh Bhardwaj, Prithwish Dan, Sanjiban Choudhury
InteRACT: Transformer Models for Human Intent Prediction Conditioned on Robot Actions. ICRA (2024)
Wenting Zhao, Justin T. Chiu, Jena D. Hwang, Faeze Brahman, Jack Hessel, Sanjiban Choudhury, Yejin Choi, Xiang Lorraine Li, Alane Suhr
UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations. CoRR (2023)
Yuki Wang, Gonzalo Gonzalez-Pumariega, Yash Sharma, Sanjiban Choudhury
Demo2Code: From Summarizing Demonstrations to Synthesizing Code via Extended Chain-of-Thought. NeurIPS (2023)
Huaxiaoyue Wang, Gonzalo Gonzalez-Pumariega, Yash Sharma, Sanjiban Choudhury
Demo2Code: From Summarizing Demonstrations to Synthesizing Code via Extended Chain-of-Thought. CoRR (2023)
Kushal Kedia, Prithwish Dan, Atiksh Bhardwaj, Sanjiban Choudhury
ManiCast: Collaborative Manipulation with Cost-Aware Human Forecasting. CoRR (2023)
Anirudh Vemula, Yuda Song, Aarti Singh, J. Andrew Bagnell, Sanjiban Choudhury
The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms. CoRR (2023)
Kushal Kedia, Prithwish Dan, Sanjiban Choudhury
A Game-Theoretic Framework for Joint Forecasting and Planning. IROS (2023)
Rosario Scalise, Aditya Mandalika, Brian Hou, Sanjiban Choudhury, Siddhartha S. Srinivasa
GuILD: Guided Incremental Local Densification for Accelerated Sampling-based Motion Planning. ICRA (2023)
Kushal Kedia, Atiksh Bhardwaj, Prithwish Dan, Sanjiban Choudhury
InteRACT: Transformer Models for Human Intent Prediction Conditioned on Robot Actions. CoRR (2023)
Kushal Kedia, Prithwish Dan, Atiksh Bhardwaj, Sanjiban Choudhury
ManiCast: Collaborative Manipulation with Cost-Aware Human Forecasting. CoRL (2023)
Kushal Kedia, Prithwish Dan, Sanjiban Choudhury
A Game-Theoretic Framework for Joint Forecasting and Planning. CoRR (2023)
Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu
Inverse Reinforcement Learning without Reinforcement Learning. CoRR (2023)
Konwoo Kim, Gokul Swamy, Zuxin Liu, Ding Zhao, Sanjiban Choudhury, Steven Z. Wu
Learning Shared Safety Constraints from Multi-task Demonstrations. NeurIPS (2023)
Anirudh Vemula, Yuda Song, Aarti Singh, Drew Bagnell, Sanjiban Choudhury
The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms. ICML (2023)
Brad Saund, Sanjiban Choudhury, Siddhartha S. Srinivasa, Dmitry Berenson
The blindfolded traveler's problem: A search framework for motion planning with contact estimates. Int. J. Robotics Res. 42 (4-5) (2023)
Konwoo Kim, Gokul Swamy, Zuxin Liu, Ding Zhao, Sanjiban Choudhury, Zhiwei Steven Wu
Learning Shared Safety Constraints from Multi-task Demonstrations. CoRR (2023)
Aaron Walsman, Muru Zhang, Sanjiban Choudhury, Dieter Fox, Ali Farhadi
Impossibly Good Experts and How to Follow Them. ICLR (2023)
Gokul Swamy, David Wu, Sanjiban Choudhury, Drew Bagnell, Zhiwei Steven Wu
Inverse Reinforcement Learning without Reinforcement Learning. ICML (2023)
Jonathan C. Spencer, Sanjiban Choudhury, Matthew Barnes, Matthew Schmittle, Mung Chiang, Peter J. Ramadge, Siddhartha S. Srinivasa
Expert Intervention Learning. Auton. Robots 46 (1) (2022)
Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu
Game-Theoretic Algorithms for Conditional Moment Matching. CoRR (2022)
Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu
Causal Imitation Learning under Temporally Correlated Noise. CoRR (2022)
Gokul Swamy, Sanjiban Choudhury, Drew Bagnell, Steven Wu
Causal Imitation Learning under Temporally Correlated Noise. ICML (2022)
Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu
Sequence Model Imitation Learning with Unobserved Contexts. NeurIPS (2022)
Brian D. Ziebart, Sanjiban Choudhury, Xinyan Yan, Paul Vernaza
Towards Uniformly Superhuman Autonomy via Subdominance Minimization. ICML (2022)
Gokul Swamy, Nived Rajaraman, Matthew Peng, Sanjiban Choudhury, J. Andrew Bagnell, Steven Wu, Jiantao Jiao, Kannan Ramchandran
Minimax Optimal Online Imitation Learning via Replay Estimation. NeurIPS (2022)
Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu
Sequence Model Imitation Learning with Unobserved Contexts. CoRR (2022)
Chad Kessens, Matthew Kaplan, Trevor Rocks, Philip R. Osteen, John G. Rogers, Ethan Stump, Arnon Hurwitz, Jonathan Fink, Long Quang, Mark Gonzalez, Jaymit Patel, Michael Diblasi, Shiyani Patel, Matthew Weiker, Dilip Patel, Joseph Bowkett, Renaud Detry, Sisir Karumanchi, Larry H. Matthies, Joel Burdick, Yash Oza, Aditya Agarwal, Andrew Dornbush, Dhruv Saxena, Maxim Likhachev, Karl Schmeckpeper, Kostas Daniilidis, Ajinkya Kamat, Aditya Mandalika, Sanjiban Choudhury, Siddhartha S. Srinivasa
Human-Scale Mobile Manipulation Using RoMan. Field Robotics 2 (1) (2022)
Gokul Swamy, Nived Rajaraman, Matthew Peng, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu, Jiantao Jiao, Kannan Ramchandran
Minimax Optimal Online Imitation Learning via Replay Estimation. CoRR (2022)
Gokul Swamy, Sanjiban Choudhury, Zhiwei Steven Wu, J. Andrew Bagnell
Of Moments and Matching: Trade-offs and Treatments in Imitation Learning. CoRR (2021)
Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots
Blending MPC & Value Function Approximation for Efficient Reinforcement Learning. ICLR (2021)
Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots, Siddhartha S. Srinivasa
Leveraging Experience in Lazy Search. CoRR (2021)
Gilwoo Lee, Brian Hou, Sanjiban Choudhury, Siddhartha S. Srinivasa
Bayesian Residual Policy Optimization: : Scalable Bayesian Reinforcement Learning with Clairvoyant Experts. IROS (2021)
Jonathan C. Spencer, Sanjiban Choudhury, Arun Venkatraman, Brian D. Ziebart, J. Andrew Bagnell
Feedback in Imitation Learning: The Three Regimes of Covariate Shift. CoRR (2021)
Matthew Schmittle, Sanjiban Choudhury, Siddhartha S. Srinivasa
Learning Online from Corrective Feedback: A Meta-Algorithm for Robotics. CoRR (2021)
Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Steven Wu
Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap. ICML (2021)
Liyiming Ke, Sanjiban Choudhury, Matt Barnes, Wen Sun, Gilwoo Lee, Siddhartha S. Srinivasa
Imitation Learning as f-Divergence Minimization. WAFR (2021)
Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu
A Critique of Strictly Batch Imitation Learning. CoRR (2021)
Aditya Mandalika, Rosario Scalise, Brian Hou, Sanjiban Choudhury, Siddhartha S. Srinivasa
Guided Incremental Local Densification for Accelerated Sampling-based Motion Planning. CoRR (2021)
Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots, Siddhartha S. Srinivasa
Leveraging experience in lazy search. Auton. Robots 45 (7) (2021)
Paloma Sodhi, Sanjiban Choudhury, Joshua G. Mangelson, Michael Kaess
ICS: Incremental Constrained Smoothing for State Estimation. ICRA (2020)
Jonathan C. Spencer, Sanjiban Choudhury, Matt Barnes, Matthew Schmittle, Mung Chiang, Peter J. Ramadge, Siddhartha S. Srinivasa
Learning from Interventions: Human-robot interaction as both explicit and implicit feedback. Robotics: Science and Systems (2020)
Brian Hou, Sanjiban Choudhury, Gilwoo Lee, Aditya Mandalika, Siddhartha S. Srinivasa
Posterior Sampling for Anytime Motion Planning on Graphs with Expensive-to-Evaluate Edges. ICRA (2020)
Brian Hou, Sanjiban Choudhury, Gilwoo Lee, Aditya Mandalika, Siddhartha S. Srinivasa
Posterior Sampling for Anytime Motion Planning on Graphs with Expensive-to-Evaluate Edges. CoRR (2020)
Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots
Blending MPC & Value Function Approximation for Efficient Reinforcement Learning. CoRR (2020)
Gilwoo Lee, Brian Hou, Sanjiban Choudhury, Siddhartha S. Srinivasa
Bayesian Residual Policy Optimization: Scalable Bayesian Reinforcement Learning with Clairvoyant Experts. CoRR (2020)
Rogerio Bonatti, Wenshan Wang, Cherie Ho, Aayush Ahuja, Mirko Gschwindt, Efe Camci, Erdal Kayacan, Sanjiban Choudhury, Sebastian A. Scherer
Autonomous aerial cinematography in unstructured environments with learned artistic decision-making. J. Field Robotics 37 (4) (2020)
Gilwoo Lee, Brian Hou, Aditya Mandalika, Jeongseok Lee, Sanjiban Choudhury, Siddhartha S. Srinivasa
Bayesian Policy Optimization for Model Uncertainty. ICLR (Poster) (2019)
Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots, Siddhartha S. Srinivasa
Leveraging Experience in Lazy Search. Robotics: Science and Systems (2019)
Aditya Mandalika, Sanjiban Choudhury, Oren Salzman, Siddhartha S. Srinivasa
Generalized Lazy Search for Robot Motion Planning: Interleaving Search and Edge Evaluation via Event-Based Toggles. ICAPS (2019)
Rahul Kumar, Aditya Mandalika, Sanjiban Choudhury, Siddhartha S. Srinivasa
LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based Planning. IROS (2019)
Liyiming Ke, Matt Barnes, Wen Sun, Gilwoo Lee, Sanjiban Choudhury, Siddhartha S. Srinivasa
Imitation Learning as f-Divergence Minimization. CoRR (2019)
Rogerio Bonatti, Cherie Ho, Wenshan Wang, Sanjiban Choudhury, Sebastian A. Scherer
Towards a Robust Aerial Cinematography Platform: Localizing and Tracking Moving Targets in Unstructured Environments. CoRR (2019)
Aditya Mandalika, Sanjiban Choudhury, Oren Salzman, Siddhartha S. Srinivasa
Generalized Lazy Search for Robot Motion Planning: Interleaving Search and Edge Evaluation via Event-based Toggles. CoRR (2019)
Sanjiban Choudhury, Vishal Dugar, Silvio M. Maeta, Brian MacAllister, Sankalp Arora, Daniel Althoff, Sebastian A. Scherer
High performance and safe flight of full-scale helicopters from takeoff to landing with an ensemble of planners. J. Field Robotics 36 (8) (2019)
Rogerio Bonatti, Wenshan Wang, Cherie Ho, Aayush Ahuja, Mirko Gschwindt, Efe Camci, Erdal Kayacan, Sanjiban Choudhury, Sebastian A. Scherer
Autonomous Aerial Cinematography In Unstructured Environments With Learned Artistic Decision-Making. CoRR (2019)
Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots, Siddhartha S. Srinivasa
Leveraging Experience in Lazy Search. CoRR (2019)
Brad Saund, Sanjiban Choudhury, Siddhartha S. Srinivasa, Dmitry Berenson
The Blindfolded Robot: A Bayesian Approach to Planning with Contact Feedback. ISRR (2019)
Siddhartha S. Srinivasa, Patrick Lancaster, Johan Michalove, Matt Schmittle, Colin Summers, Matthew Rockett, Joshua R. Smith, Sanjiban Choudhury, Christoforos I. Mavrogiannis, Fereshteh Sadeghi
MuSHR: A Low-Cost, Open-Source Robotic Racecar for Education and Research. CoRR (2019)
Rogerio Bonatti, Cherie Ho, Wenshan Wang, Sanjiban Choudhury, Sebastian A. Scherer
Towards a Robust Aerial Cinematography Platform: Localizing and Tracking Moving Targets in Unstructured Environments. IROS (2019)
Rahul Kumar, Aditya Mandalika, Sanjiban Choudhury, Siddhartha S. Srinivasa
LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based Planning. CoRR (2019)
Gilwoo Lee, Sanjiban Choudhury, Brian Hou, Siddhartha S. Srinivasa
Bayes-CPACE: PAC Optimal Exploration in Continuous Space Bayes-Adaptive Markov Decision Processes. CoRR (2018)
Rogerio Bonatti, Yanfu Zhang, Sanjiban Choudhury, Wenshan Wang, Sebastian A. Scherer
Autonomous drone cinematographer: Using artistic principles to create smooth, safe, occlusion-free trajectories for aerial filming. CoRR (2018)
Sankalp Arora, Sanjiban Choudhury, Sebastian A. Scherer
Hindsight is Only 50/50: Unsuitability of MDP based Approximate POMDP Solvers for Multi-resolution Information Gathering. CoRR (2018)
Rogerio Bonatti, Yanfu Zhang, Sanjiban Choudhury, Wenshan Wang, Sebastian A. Scherer
Autonomous Drone Cinematographer: Using Artistic Principles to Create Smooth, Safe, Occlusion-Free Trajectories for Aerial Filming. ISER (2018)
Sanjiban Choudhury, Siddhartha S. Srinivasa, Sebastian A. Scherer
Bayesian Active Edge Evaluation on Expensive Graphs. IJCAI (2018)
Sanjiban Choudhury, Mohak Bhardwaj, Sankalp Arora, Ashish Kapoor, Gireeja Ranade, Sebastian A. Scherer, Debadeepta Dey
Data-driven planning via imitation learning. Int. J. Robotics Res. 37 (13-14) (2018)
Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Sebastian A. Scherer, Debadeepta Dey
Adaptive Information Gathering via Imitation Learning. Robotics: Science and Systems (2017)
Mohak Bhardwaj, Sanjiban Choudhury, Sebastian A. Scherer
Learning Heuristic Search via Imitation. CoRL (2017)
Sanjiban Choudhury, Shervin Javdani, Siddhartha S. Srinivasa, Sebastian A. Scherer
Near-Optimal Edge Evaluation in Explicit Generalized Binomial Graphs. CoRR (2017)
Shushman Choudhury, Oren Salzman, Sanjiban Choudhury, Siddhartha S. Srinivasa
Densification strategies for anytime motion planning over large dense roadmaps. ICRA (2017)
Sanjiban Choudhury, Mohak Bhardwaj, Sankalp Arora, Ashish Kapoor, Gireeja Ranade, Sebastian A. Scherer, Debadeepta Dey
Data-driven Planning via Imitation Learning. CoRR (2017)
Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Sebastian A. Scherer, Debadeepta Dey
Adaptive Information Gathering via Imitation Learning. CoRR (2017)
Sanjiban Choudhury, Siddhartha S. Srinivasa, Sebastian A. Scherer
Bayesian Active Edge Evaluation on Expensive Graphs. CoRR (2017)
Vishal Dugar, Sanjiban Choudhury, Sebastian A. Scherer
A κITE in the wind: Smooth trajectory optimization in a moving reference frame. ICRA (2017)
Sanjiban Choudhury, Siddhartha S. Srinivasa
A Bayesian Active Learning Approach to Adaptive Motion Planning. ISRR (2017)
Sanjiban Choudhury, Shervin Javdani, Siddhartha S. Srinivasa, Sebastian A. Scherer
Near-Optimal Edge Evaluation in Explicit Generalized Binomial Graphs. NIPS (2017)
Mohak Bhardwaj, Sanjiban Choudhury, Sebastian A. Scherer
Learning Heuristic Search via Imitation. CoRR (2017)
Shushman Choudhury, Oren Salzman, Sanjiban Choudhury, Christopher M. Dellin, Siddhartha S. Srinivasa
Anytime Motion Planning on Large Dense Roadmaps with Expensive Edge Evaluations. CoRR (2017)
Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Debadeepta Dey
Learning to gather information via imitation. ICRA (2017)
Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Debadeepta Dey
Learning to Gather Information via Imitation. CoRR (2016)
Shushman Choudhury, Oren Salzman, Sanjiban Choudhury, Siddhartha S. Srinivasa
Densification Strategies for Anytime Motion Planning over Large Dense Roadmaps. CoRR (2016)
Sanjiban Choudhury, Jonathan D. Gammell, Timothy D. Barfoot, Siddhartha S. Srinivasa, Sebastian A. Scherer
Regionally accelerated batch informed trees (RABIT*): A framework to integrate local information into optimal path planning. ICRA (2016)
Abhijeet Tallavajhula, Sanjiban Choudhury, Sebastian A. Scherer, Alonzo Kelly
List prediction applied to motion planning. ICRA (2016)
Sanjiban Choudhury, Sebastian A. Scherer, J. Andrew Bagnell
Theoretical Limits of Speed and Resolution for Kinodynamic Planning in a Poisson Forest. Robotics: Science and Systems (2015)
Stephen Nuske, Sanjiban Choudhury, Sezal Jain, Andrew Chambers, Luke Yoder, Sebastian A. Scherer, Lyle Chamberlain, Hugh Cover, Sanjiv Singh
Autonomous Exploration and Motion Planning for an Unmanned Aerial Vehicle Navigating Rivers. J. Field Robotics 32 (8) (2015)
Sanjiban Choudhury, Sankalp Arora, Sebastian A. Scherer
The planner ensemble: Motion planning by executing diverse algorithms. ICRA (2015)
Sanjiban Choudhury, Sebastian A. Scherer
The Dynamics Projection Filter (DPF) - real-time nonlinear trajectory optimization using projection operators. ICRA (2015)
Sankalp Arora, Sanjiban Choudhury, Daniel Althoff, Sebastian A. Scherer
Emergency maneuver library - ensuring safe navigation in partially known environments. ICRA (2015)
Hugh Cover, Sanjiban Choudhury, Sebastian A. Scherer, Sanjiv Singh
Sparse Tangential Network (SPARTAN): Motion planning for micro aerial vehicles. ICRA (2013)
Sanjiban Choudhury, Sebastian A. Scherer, Sanjiv Singh
RRT*-AR: Sampling-based alternate routes planning with applications to autonomous emergency landing of a helicopter. ICRA (2013)