Sanjiban Choudhury

127 papers A* 37A 5C 3Misc 4Journal 69Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Smooth Sea Never Made a Skilled SAILOR: Robust Imitation via Learning to Search. CoRR Arnav Kumar Jain, Vibhakar Mohta, Subin Kim, Atiksh Bhardwaj, Juntao Ren, Yunhai Feng, Sanjiban Choudhury, Gokul Swamy
2025	J	`jnl`	Aligning LLMs with Domain Invariant Reward Models. CoRR David Wu, Sanjiban Choudhury
2025	J	`jnl`	All Roads Lead to Likelihood: The Value of Reinforcement Learning in Fine-Tuning. CoRR Gokul Swamy, Sanjiban Choudhury, Wen Sun, Zhiwei Steven Wu, J. Andrew Bagnell
2025	A*	`conf`	Better than Your Teacher: LLM Agents that learn from Privileged AI Feedback. ICLR Sanjiban Choudhury, Paloma Sodhi
2025	A	`conf`	Distilling Realizable Students from Unrealizable Teachers. IROS Yujin Kim, Nathaniel Chin, Arnav Vasudev, Sanjiban Choudhury
2025	J	`jnl`	Distilling Realizable Students from Unrealizable Teachers. CoRR Yujin Kim, Nathaniel Chin, Arnav Vasudev, Sanjiban Choudhury
2025	A*	`conf`	Efficient Imitation under Misspecification. ICLR Nicolas A. Espinosa Dice, Sanjiban Choudhury, Wen Sun, Gokul Swamy
2025	J	`jnl`	Efficient Imitation under Misspecification. CoRR Nicolas A. Espinosa Dice, Sanjiban Choudhury, Wen Sun, Gokul Swamy
2025	A*	`conf`	Imitation Learning from a Single Temporally Misaligned Video. ICML William Huey, Huaxiaoyue Wang, Anne Wu, Yoav Artzi, Sanjiban Choudhury
2025	J	`jnl`	Imitation Learning from a Single Temporally Misaligned Video. CoRR William Huey, Huaxiaoyue Wang, Anne Wu, Yoav Artzi, Sanjiban Choudhury
2025	A*	`conf`	Imitation Learning via Focused Satisficing. IJCAI Rushit N. Shah, Nikolaos Agadakos, Synthia Sasulski, Ali Farajzadeh, Sanjiban Choudhury, Brian D. Ziebart
2025	J	`jnl`	Imitation Learning via Focused Satisficing. CoRR Rushit N. Shah, Nikolaos Agadakos, Synthia Sasulski, Ali Farajzadeh, Sanjiban Choudhury, Brian D. Ziebart
2025	A*	`conf`	Motion Tracks: A Unified Representation for Human-Robot Transfer in Few-Shot Imitation Learning. ICRA Juntao Ren, Priya Sundaresan, Dorsa Sadigh, Sanjiban Choudhury, Jeannette Bohg
2025	J	`jnl`	Motion Tracks: A Unified Representation for Human-Robot Transfer in Few-Shot Imitation Learning. CoRR Juntao Ren, Priya Sundaresan, Dorsa Sadigh, Sanjiban Choudhury, Jeannette Bohg
2025	A*	`conf`	Multi-Turn Code Generation Through Single-Step Rewards. ICML Arnav Kumar Jain, Gonzalo Gonzalez-Pumariega, Wayne Chen, Alexander M. Rush, Wenting Zhao, Sanjiban Choudhury
2025	J	`jnl`	Multi-Turn Code Generation Through Single-Step Rewards. CoRR Arnav Kumar Jain, Gonzalo Gonzalez-Pumariega, Wayne Chen, Alexander M. Rush, Wenting Zhao, Sanjiban Choudhury
2025	A*	`conf`	Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching. ICLR Arnav Kumar Jain, Harley Wiltzer, Jesse Farebrother, Irina Rish, Glen Berseth, Sanjiban Choudhury
2025	A*	`conf`	One-Shot Imitation Under Mismatched Execution. ICRA Kushal Kedia, Prithwish Dan, Angela Chao, Maximus Adrian Pace, Sanjiban Choudhury
2025	J	`jnl`	Process Reward Models for LLM Agents: Practical Framework and Directions. CoRR Sanjiban Choudhury
2025	A*	`conf`	Robotouille: An Asynchronous Planning Benchmark for LLM Agents. ICLR Gonzalo Gonzalez-Pumariega, Leong Su Yean, Neha Sunkara, Sanjiban Choudhury
2025	J	`jnl`	Robotouille: An Asynchronous Planning Benchmark for LLM Agents. CoRR Gonzalo Gonzalez-Pumariega, Leong Su Yean, Neha Sunkara, Sanjiban Choudhury
2025	J	`jnl`	X-Sim: Cross-Embodiment Learning via Real-to-Sim-to-Real. CoRR Prithwish Dan, Kushal Kedia, Angela Chao, Edward Weiyi Duan, Maximus Adrian Pace, Wei-Chiu Ma, Sanjiban Choudhury
2024	Misc	`conf`	APRICOT: Active Preference Learning and Constraint-Aware Task Planning with LLMs. CoRL Huaxiaoyue Wang, Nathaniel Chin, Gonzalo Gonzalez-Pumariega, Xiangwan Sun, Neha Sunkara, Maximus Adrian Pace, Jeannette Bohg, Sanjiban Choudhury
2024	J	`jnl`	APRICOT: Active Preference Learning and Constraint-Aware Task Planning with LLMs. CoRR Huaxiaoyue Wang, Nathaniel Chin, Gonzalo Gonzalez-Pumariega, Xiangwan Sun, Neha Sunkara, Maximus Adrian Pace, Jeannette Bohg, Sanjiban Choudhury
2024	J	`jnl`	Accelerating Inverse Reinforcement Learning with Expert Bootstrapping. CoRR David Wu, Sanjiban Choudhury
2024	J	`jnl`	Better than Your Teacher: LLM Agents that learn from Privileged AI Feedback. CoRR Sanjiban Choudhury, Paloma Sodhi
2024	A*	`conf`	Hybrid Inverse Reinforcement Learning. ICML Juntao Ren, Gokul Swamy, Steven Wu, Drew Bagnell, Sanjiban Choudhury
2024	J	`jnl`	Hybrid Inverse Reinforcement Learning. CoRR Juntao Ren, Gokul Swamy, Zhiwei Steven Wu, J. Andrew Bagnell, Sanjiban Choudhury
2024	A*	`conf`	InteRACT: Transformer Models for Human Intent Prediction Conditioned on Robot Actions. ICRA Kushal Kedia, Atiksh Bhardwaj, Prithwish Dan, Sanjiban Choudhury
2024	J	`jnl`	Learning to Move Like Professional Counter-Strike Players. Comput. Graph. Forum David Durst, Feng Xie, Vishnu Sarukkai, Brennan Shacklett, Iuri Frosio, Chen Tessler, Joohwan Kim, Carly Taylor, Gilbert Louis Bernstein, Sanjiban Choudhury, Pat Hanrahan, Kayvon Fatahalian
2024	J	`jnl`	Learning to Move Like Professional Counter-Strike Players. CoRR David Durst, Feng Xie, Vishnu Sarukkai, Brennan Shacklett, Iuri Frosio, Chen Tessler, Joohwan Kim, Carly Taylor, Gilbert Bernstein, Sanjiban Choudhury, Pat Hanrahan, Kayvon Fatahalian
2024	J	`jnl`	MOSAIC: A Modular System for Assistive and Interactive Cooking. CoRR 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
2024	Misc	`conf`	MOSAIC: Modular Foundation Models for Assistive and Interactive Cooking. CoRL 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
2024	J	`jnl`	Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching. CoRR Arnav Kumar Jain, Harley Wiltzer, Jesse Farebrother, Irina Rish, Glen Berseth, Sanjiban Choudhury
2024	J	`jnl`	One-Shot Imitation under Mismatched Execution. CoRR Kushal Kedia, Prithwish Dan, Sanjiban Choudhury
2024	J	`jnl`	Query-Efficient Planning with Language Models. CoRR Gonzalo Gonzalez-Pumariega, Wayne Chen, Kushal Kedia, Sanjiban Choudhury
2024	—	`conf`	UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations. NAACL-HLT Wenting Zhao, Justin T. Chiu, Jena D. Hwang, Faeze Brahman, Jack Hessel, Sanjiban Choudhury, Yejin Choi, Xiang Li, Alane Suhr
2023	A	`conf`	A Game-Theoretic Framework for Joint Forecasting and Planning. IROS Kushal Kedia, Prithwish Dan, Sanjiban Choudhury
2023	J	`jnl`	A Game-Theoretic Framework for Joint Forecasting and Planning. CoRR Kushal Kedia, Prithwish Dan, Sanjiban Choudhury
2023	A*	`conf`	Demo2Code: From Summarizing Demonstrations to Synthesizing Code via Extended Chain-of-Thought. NeurIPS Yuki Wang, Gonzalo Gonzalez-Pumariega, Yash Sharma, Sanjiban Choudhury
2023	J	`jnl`	Demo2Code: From Summarizing Demonstrations to Synthesizing Code via Extended Chain-of-Thought. CoRR Huaxiaoyue Wang, Gonzalo Gonzalez-Pumariega, Yash Sharma, Sanjiban Choudhury
2023	A*	`conf`	GuILD: Guided Incremental Local Densification for Accelerated Sampling-based Motion Planning. ICRA Rosario Scalise, Aditya Mandalika, Brian Hou, Sanjiban Choudhury, Siddhartha S. Srinivasa
2023	A*	`conf`	Impossibly Good Experts and How to Follow Them. ICLR Aaron Walsman, Muru Zhang, Sanjiban Choudhury, Dieter Fox, Ali Farhadi
2023	J	`jnl`	InteRACT: Transformer Models for Human Intent Prediction Conditioned on Robot Actions. CoRR Kushal Kedia, Atiksh Bhardwaj, Prithwish Dan, Sanjiban Choudhury
2023	A*	`conf`	Inverse Reinforcement Learning without Reinforcement Learning. ICML Gokul Swamy, David Wu, Sanjiban Choudhury, Drew Bagnell, Zhiwei Steven Wu
2023	J	`jnl`	Inverse Reinforcement Learning without Reinforcement Learning. CoRR Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu
2023	A*	`conf`	Learning Shared Safety Constraints from Multi-task Demonstrations. NeurIPS Konwoo Kim, Gokul Swamy, Zuxin Liu, Ding Zhao, Sanjiban Choudhury, Zhiwei Steven Wu
2023	J	`jnl`	Learning Shared Safety Constraints from Multi-task Demonstrations. CoRR Konwoo Kim, Gokul Swamy, Zuxin Liu, Ding Zhao, Sanjiban Choudhury, Zhiwei Steven Wu
2023	Misc	`conf`	ManiCast: Collaborative Manipulation with Cost-Aware Human Forecasting. CoRL Kushal Kedia, Prithwish Dan, Atiksh Bhardwaj, Sanjiban Choudhury
2023	J	`jnl`	ManiCast: Collaborative Manipulation with Cost-Aware Human Forecasting. CoRR Kushal Kedia, Prithwish Dan, Atiksh Bhardwaj, Sanjiban Choudhury
2023	A*	`conf`	The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms. ICML Anirudh Vemula, Yuda Song, Aarti Singh, Drew Bagnell, Sanjiban Choudhury
2023	J	`jnl`	The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms. CoRR Anirudh Vemula, Yuda Song, Aarti Singh, J. Andrew Bagnell, Sanjiban Choudhury
2023	J	`jnl`	The blindfolded traveler's problem: A search framework for motion planning with contact estimates. Int. J. Robotics Res. Brad Saund, Sanjiban Choudhury, Siddhartha S. Srinivasa, Dmitry Berenson
2023	J	`jnl`	UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations. CoRR Wenting Zhao, Justin T. Chiu, Jena D. Hwang, Faeze Brahman, Jack Hessel, Sanjiban Choudhury, Yejin Choi, Xiang Lorraine Li, Alane Suhr
2022	A*	`conf`	Causal Imitation Learning under Temporally Correlated Noise. ICML Gokul Swamy, Sanjiban Choudhury, Drew Bagnell, Steven Wu
2022	J	`jnl`	Causal Imitation Learning under Temporally Correlated Noise. CoRR Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu
2022	J	`jnl`	Expert Intervention Learning. Auton. Robots Jonathan C. Spencer, Sanjiban Choudhury, Matthew Barnes, Matthew Schmittle, Mung Chiang, Peter J. Ramadge, Siddhartha S. Srinivasa
2022	J	`jnl`	Game-Theoretic Algorithms for Conditional Moment Matching. CoRR Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu
2022	J	`jnl`	Human-Scale Mobile Manipulation Using RoMan. Field Robotics Chad C. 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
2022	A*	`conf`	Minimax Optimal Online Imitation Learning via Replay Estimation. NeurIPS Gokul Swamy, Nived Rajaraman, Matthew Peng, Sanjiban Choudhury, J. Andrew Bagnell, Steven Wu, Jiantao Jiao, Kannan Ramchandran
2022	J	`jnl`	Minimax Optimal Online Imitation Learning via Replay Estimation. CoRR Gokul Swamy, Nived Rajaraman, Matthew Peng, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu, Jiantao Jiao, Kannan Ramchandran
2022	A*	`conf`	Sequence Model Imitation Learning with Unobserved Contexts. NeurIPS Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu
2022	J	`jnl`	Sequence Model Imitation Learning with Unobserved Contexts. CoRR Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu
2022	A*	`conf`	Towards Uniformly Superhuman Autonomy via Subdominance Minimization. ICML Brian D. Ziebart, Sanjiban Choudhury, Xinyan Yan, Paul Vernaza
2021	J	`jnl`	A Critique of Strictly Batch Imitation Learning. CoRR Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu
2021	A	`conf`	Bayesian Residual Policy Optimization: : Scalable Bayesian Reinforcement Learning with Clairvoyant Experts. IROS Gilwoo Lee, Brian Hou, Sanjiban Choudhury, Siddhartha S. Srinivasa
2021	A*	`conf`	Blending MPC & Value Function Approximation for Efficient Reinforcement Learning. ICLR Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots
2021	J	`jnl`	Feedback in Imitation Learning: The Three Regimes of Covariate Shift. CoRR Jonathan C. Spencer, Sanjiban Choudhury, Arun Venkatraman, Brian D. Ziebart, J. Andrew Bagnell
2021	J	`jnl`	Guided Incremental Local Densification for Accelerated Sampling-based Motion Planning. CoRR Aditya Mandalika, Rosario Scalise, Brian Hou, Sanjiban Choudhury, Siddhartha S. Srinivasa
2021	C	`conf`	Imitation Learning as f-Divergence Minimization. WAFR Liyiming Ke, Sanjiban Choudhury, Matt Barnes, Wen Sun, Gilwoo Lee, Siddhartha S. Srinivasa
2021	J	`jnl`	Learning Online from Corrective Feedback: A Meta-Algorithm for Robotics. CoRR Matthew Schmittle, Sanjiban Choudhury, Siddhartha S. Srinivasa
2021	J	`jnl`	Leveraging Experience in Lazy Search. CoRR Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots, Siddhartha S. Srinivasa
2021	J	`jnl`	Leveraging experience in lazy search. Auton. Robots Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots, Siddhartha S. Srinivasa
2021	A*	`conf`	Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap. ICML Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Steven Wu
2021	J	`jnl`	Of Moments and Matching: Trade-offs and Treatments in Imitation Learning. CoRR Gokul Swamy, Sanjiban Choudhury, Zhiwei Steven Wu, J. Andrew Bagnell
2020	J	`jnl`	Autonomous aerial cinematography in unstructured environments with learned artistic decision-making. J. Field Robotics Rogerio Bonatti, Wenshan Wang, Cherie Ho, Aayush Ahuja, Mirko Gschwindt, Efe Camci, Erdal Kayacan, Sanjiban Choudhury, Sebastian A. Scherer
2020	J	`jnl`	Bayesian Residual Policy Optimization: Scalable Bayesian Reinforcement Learning with Clairvoyant Experts. CoRR Gilwoo Lee, Brian Hou, Sanjiban Choudhury, Siddhartha S. Srinivasa
2020	J	`jnl`	Blending MPC & Value Function Approximation for Efficient Reinforcement Learning. CoRR Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots
2020	A*	`conf`	ICS: Incremental Constrained Smoothing for State Estimation. ICRA Paloma Sodhi, Sanjiban Choudhury, Joshua G. Mangelson, Michael Kaess
2020	—	`conf`	Learning from Interventions: Human-robot interaction as both explicit and implicit feedback. Robotics: Science and Systems Jonathan C. Spencer, Sanjiban Choudhury, Matt Barnes, Matthew Schmittle, Mung Chiang, Peter J. Ramadge, Siddhartha S. Srinivasa
2020	A*	`conf`	Posterior Sampling for Anytime Motion Planning on Graphs with Expensive-to-Evaluate Edges. ICRA Brian Hou, Sanjiban Choudhury, Gilwoo Lee, Aditya Mandalika, Siddhartha S. Srinivasa
2020	J	`jnl`	Posterior Sampling for Anytime Motion Planning on Graphs with Expensive-to-Evaluate Edges. CoRR Brian Hou, Sanjiban Choudhury, Gilwoo Lee, Aditya Mandalika, Siddhartha S. Srinivasa
2019	J	`jnl`	Autonomous Aerial Cinematography In Unstructured Environments With Learned Artistic Decision-Making. CoRR Rogerio Bonatti, Wenshan Wang, Cherie Ho, Aayush Ahuja, Mirko Gschwindt, Efe Camci, Erdal Kayacan, Sanjiban Choudhury, Sebastian A. Scherer
2019	—	`conf`	Bayesian Policy Optimization for Model Uncertainty. ICLR (Poster) Gilwoo Lee, Brian Hou, Aditya Mandalika, Jeongseok Lee, Sanjiban Choudhury, Siddhartha S. Srinivasa
2019	A*	`conf`	Generalized Lazy Search for Robot Motion Planning: Interleaving Search and Edge Evaluation via Event-Based Toggles. ICAPS Aditya Mandalika, Sanjiban Choudhury, Oren Salzman, Siddhartha S. Srinivasa
2019	J	`jnl`	Generalized Lazy Search for Robot Motion Planning: Interleaving Search and Edge Evaluation via Event-based Toggles. CoRR Aditya Mandalika, Sanjiban Choudhury, Oren Salzman, Siddhartha S. Srinivasa
2019	J	`jnl`	High performance and safe flight of full-scale helicopters from takeoff to landing with an ensemble of planners. J. Field Robotics Sanjiban Choudhury, Vishal Dugar, Silvio M. Maeta, Brian MacAllister, Sankalp Arora, Daniel Althoff, Sebastian A. Scherer
2019	J	`jnl`	Imitation Learning as f-Divergence Minimization. CoRR Liyiming Ke, Matt Barnes, Wen Sun, Gilwoo Lee, Sanjiban Choudhury, Siddhartha S. Srinivasa
2019	A	`conf`	LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based Planning. IROS Rahul Kumar, Aditya Mandalika, Sanjiban Choudhury, Siddhartha S. Srinivasa
2019	J	`jnl`	LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based Planning. CoRR Rahul Kumar, Aditya Mandalika, Sanjiban Choudhury, Siddhartha S. Srinivasa
2019	—	`conf`	Leveraging Experience in Lazy Search. Robotics: Science and Systems Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots, Siddhartha S. Srinivasa
2019	J	`jnl`	Leveraging Experience in Lazy Search. CoRR Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots, Siddhartha S. Srinivasa
2019	J	`jnl`	MuSHR: A Low-Cost, Open-Source Robotic Racecar for Education and Research. CoRR Siddhartha S. Srinivasa, Patrick Lancaster, Johan Michalove, Matt Schmittle, Colin Summers, Matthew Rockett, Joshua R. Smith, Sanjiban Choudhury, Christoforos I. Mavrogiannis, Fereshteh Sadeghi
2019	C	`conf`	The Blindfolded Robot: A Bayesian Approach to Planning with Contact Feedback. ISRR Brad Saund, Sanjiban Choudhury, Siddhartha S. Srinivasa, Dmitry Berenson
2019	A	`conf`	Towards a Robust Aerial Cinematography Platform: Localizing and Tracking Moving Targets in Unstructured Environments. IROS Rogerio Bonatti, Cherie Ho, Wenshan Wang, Sanjiban Choudhury, Sebastian A. Scherer
2019	J	`jnl`	Towards a Robust Aerial Cinematography Platform: Localizing and Tracking Moving Targets in Unstructured Environments. CoRR Rogerio Bonatti, Cherie Ho, Wenshan Wang, Sanjiban Choudhury, Sebastian A. Scherer
2018	—	`—`	Adaptive Motion Planning. Sanjiban Choudhury
2018	—	`conf`	Autonomous Drone Cinematographer: Using Artistic Principles to Create Smooth, Safe, Occlusion-Free Trajectories for Aerial Filming. ISER Rogerio Bonatti, Yanfu Zhang, Sanjiban Choudhury, Wenshan Wang, Sebastian A. Scherer
2018	J	`jnl`	Autonomous drone cinematographer: Using artistic principles to create smooth, safe, occlusion-free trajectories for aerial filming. CoRR Rogerio Bonatti, Yanfu Zhang, Sanjiban Choudhury, Wenshan Wang, Sebastian A. Scherer
2018	J	`jnl`	Bayes-CPACE: PAC Optimal Exploration in Continuous Space Bayes-Adaptive Markov Decision Processes. CoRR Gilwoo Lee, Sanjiban Choudhury, Brian Hou, Siddhartha S. Srinivasa
2018	A*	`conf`	Bayesian Active Edge Evaluation on Expensive Graphs. IJCAI Sanjiban Choudhury, Siddhartha S. Srinivasa, Sebastian A. Scherer
2018	J	`jnl`	Data-driven planning via imitation learning. Int. J. Robotics Res. Sanjiban Choudhury, Mohak Bhardwaj, Sankalp Arora, Ashish Kapoor, Gireeja Ranade, Sebastian A. Scherer, Debadeepta Dey
2018	J	`jnl`	Hindsight is Only 50/50: Unsuitability of MDP based Approximate POMDP Solvers for Multi-resolution Information Gathering. CoRR Sankalp Arora, Sanjiban Choudhury, Sebastian A. Scherer
2017	C	`conf`	A Bayesian Active Learning Approach to Adaptive Motion Planning. ISRR Sanjiban Choudhury, Siddhartha S. Srinivasa
2017	A*	`conf`	A κITE in the wind: Smooth trajectory optimization in a moving reference frame. ICRA Vishal Dugar, Sanjiban Choudhury, Sebastian A. Scherer
2017	—	`conf`	Adaptive Information Gathering via Imitation Learning. Robotics: Science and Systems Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Sebastian A. Scherer, Debadeepta Dey
2017	J	`jnl`	Adaptive Information Gathering via Imitation Learning. CoRR Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Sebastian A. Scherer, Debadeepta Dey
2017	J	`jnl`	Anytime Motion Planning on Large Dense Roadmaps with Expensive Edge Evaluations. CoRR Shushman Choudhury, Oren Salzman, Sanjiban Choudhury, Christopher M. Dellin, Siddhartha S. Srinivasa
2017	J	`jnl`	Bayesian Active Edge Evaluation on Expensive Graphs. CoRR Sanjiban Choudhury, Siddhartha S. Srinivasa, Sebastian A. Scherer
2017	J	`jnl`	Data-driven Planning via Imitation Learning. CoRR Sanjiban Choudhury, Mohak Bhardwaj, Sankalp Arora, Ashish Kapoor, Gireeja Ranade, Sebastian A. Scherer, Debadeepta Dey
2017	A*	`conf`	Densification strategies for anytime motion planning over large dense roadmaps. ICRA Shushman Choudhury, Oren Salzman, Sanjiban Choudhury, Siddhartha S. Srinivasa
2017	Misc	`conf`	Learning Heuristic Search via Imitation. CoRL Mohak Bhardwaj, Sanjiban Choudhury, Sebastian A. Scherer
2017	J	`jnl`	Learning Heuristic Search via Imitation. CoRR Mohak Bhardwaj, Sanjiban Choudhury, Sebastian A. Scherer
2017	A*	`conf`	Learning to gather information via imitation. ICRA Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Debadeepta Dey
2017	—	`conf`	Near-Optimal Edge Evaluation in Explicit Generalized Binomial Graphs. NIPS Sanjiban Choudhury, Shervin Javdani, Siddhartha S. Srinivasa, Sebastian A. Scherer
2017	J	`jnl`	Near-Optimal Edge Evaluation in Explicit Generalized Binomial Graphs. CoRR Sanjiban Choudhury, Shervin Javdani, Siddhartha S. Srinivasa, Sebastian A. Scherer
2016	J	`jnl`	Densification Strategies for Anytime Motion Planning over Large Dense Roadmaps. CoRR Shushman Choudhury, Oren Salzman, Sanjiban Choudhury, Siddhartha S. Srinivasa
2016	J	`jnl`	Learning to Gather Information via Imitation. CoRR Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Debadeepta Dey
2016	A*	`conf`	List prediction applied to motion planning. ICRA Abhijeet Tallavajhula, Sanjiban Choudhury, Sebastian A. Scherer, Alonzo Kelly
2016	A*	`conf`	Regionally accelerated batch informed trees (RABIT*): A framework to integrate local information into optimal path planning. ICRA Sanjiban Choudhury, Jonathan D. Gammell, Timothy D. Barfoot, Siddhartha S. Srinivasa, Sebastian A. Scherer
2015	J	`jnl`	Autonomous Exploration and Motion Planning for an Unmanned Aerial Vehicle Navigating Rivers. J. Field Robotics Stephen Nuske, Sanjiban Choudhury, Sezal Jain, Andrew Chambers, Luke Yoder, Sebastian A. Scherer, Lyle Chamberlain, Hugh Cover, Sanjiv Singh
2015	A*	`conf`	Emergency maneuver library - ensuring safe navigation in partially known environments. ICRA Sankalp Arora, Sanjiban Choudhury, Daniel Althoff, Sebastian A. Scherer
2015	A*	`conf`	The Dynamics Projection Filter (DPF) - real-time nonlinear trajectory optimization using projection operators. ICRA Sanjiban Choudhury, Sebastian A. Scherer
2015	A*	`conf`	The planner ensemble: Motion planning by executing diverse algorithms. ICRA Sanjiban Choudhury, Sankalp Arora, Sebastian A. Scherer
2015	—	`conf`	Theoretical Limits of Speed and Resolution for Kinodynamic Planning in a Poisson Forest. Robotics: Science and Systems Sanjiban Choudhury, Sebastian A. Scherer, J. Andrew Bagnell
2013	A*	`conf`	RRT*-AR: Sampling-based alternate routes planning with applications to autonomous emergency landing of a helicopter. ICRA Sanjiban Choudhury, Sebastian A. Scherer, Sanjiv Singh
2013	A*	`conf`	Sparse Tangential Network (SPARTAN): Motion planning for micro aerial vehicles. ICRA Hugh Cover, Sanjiban Choudhury, Sebastian A. Scherer, Sanjiv Singh