Sanjiban Choudhury
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
46
Venues
9
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
46 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Better than Your Teacher: LLM Agents that learn from Privileged AI Feedback. | Sanjiban Choudhury, Paloma Sodhi |
| 2025 | ICLR | Efficient Imitation under Misspecification. | Nicolas A. Espinosa Dice, Sanjiban Choudhury, Wen Sun, Gokul Swamy |
| 2025 | ICLR | Robotouille: An Asynchronous Planning Benchmark for LLM Agents. | Gonzalo Gonzalez-Pumariega, Leong Su Yean, Neha Sunkara, Sanjiban Choudhury |
| 2025 | ICLR | Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching. | Arnav Kumar Jain, Harley Wiltzer, Jesse Farebrother, Irina Rish, Glen Berseth, Sanjiban Choudhury |
| 2025 | ICML | Imitation Learning from a Single Temporally Misaligned Video. | William Huey, Huaxiaoyue Wang, Anne Wu, Yoav Artzi, Sanjiban Choudhury |
| 2025 | ICML | Multi-Turn Code Generation Through Single-Step Rewards. | Arnav Kumar Jain, Gonzalo Gonzalez-Pumariega, Wayne Chen, Alexander M. Rush, Wenting Zhao, Sanjiban Choudhury |
| 2025 | IJCAI | Imitation Learning via Focused Satisficing. | Rushit N. Shah, Nikolaos Agadakos, Synthia Sasulski, Ali Farajzadeh, Sanjiban Choudhury, Brian D. Ziebart |
| 2025 | ICRA | One-Shot Imitation Under Mismatched Execution. | Kushal Kedia, Prithwish Dan, Angela Chao, Maximus Adrian Pace, Sanjiban Choudhury |
| 2025 | ICRA | Motion Tracks: A Unified Representation for Human-Robot Transfer in Few-Shot Imitation Learning. | Juntao Ren, Priya Sundaresan, Dorsa Sadigh, Sanjiban Choudhury, Jeannette Bohg |
| 2025 | IROS | Distilling Realizable Students from Unrealizable Teachers. | Yujin Kim, Nathaniel Chin, Arnav Vasudev, Sanjiban Choudhury |
| 2024 | CoRL | APRICOT: Active Preference Learning and Constraint-Aware Task Planning with LLMs. | Huaxiaoyue Wang, Nathaniel Chin, Gonzalo Gonzalez-Pumariega, Xiangwan Sun, Neha Sunkara, Maximus Adrian Pace, Jeannette Bohg, Sanjiban Choudhury |
| 2024 | CoRL | MOSAIC: Modular Foundation Models for Assistive and Interactive Cooking. | 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 | ICML | Hybrid Inverse Reinforcement Learning. | Juntao Ren, Gokul Swamy, Steven Wu, Drew Bagnell, Sanjiban Choudhury |
| 2024 | ICRA | InteRACT: Transformer Models for Human Intent Prediction Conditioned on Robot Actions. | Kushal Kedia, Atiksh Bhardwaj, Prithwish Dan, Sanjiban Choudhury |
| 2024 | NAACL | UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations. | Wenting Zhao, Justin T. Chiu, Jena D. Hwang, Faeze Brahman, Jack Hessel, Sanjiban Choudhury, Yejin Choi, Xiang Li, Alane Suhr |
| 2023 | CoRL | ManiCast: Collaborative Manipulation with Cost-Aware Human Forecasting. | Kushal Kedia, Prithwish Dan, Atiksh Bhardwaj, Sanjiban Choudhury |
| 2023 | ICLR | Impossibly Good Experts and How to Follow Them. | Aaron Walsman, Muru Zhang, Sanjiban Choudhury, Dieter Fox, Ali Farhadi |
| 2023 | ICML | Inverse Reinforcement Learning without Reinforcement Learning. | Gokul Swamy, David Wu, Sanjiban Choudhury, Drew Bagnell, Zhiwei Steven Wu |
| 2023 | ICML | The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms. | Anirudh Vemula, Yuda Song, Aarti Singh, Drew Bagnell, Sanjiban Choudhury |
| 2023 | IROS | A Game-Theoretic Framework for Joint Forecasting and Planning. | Kushal Kedia, Prithwish Dan, Sanjiban Choudhury |
| 2023 | ICRA | GuILD: Guided Incremental Local Densification for Accelerated Sampling-based Motion Planning. | Rosario Scalise, Aditya Mandalika, Brian Hou, Sanjiban Choudhury, Siddhartha S. Srinivasa |
| 2022 | ICML | Causal Imitation Learning under Temporally Correlated Noise. | Gokul Swamy, Sanjiban Choudhury, Drew Bagnell, Steven Wu |
| 2022 | ICML | Towards Uniformly Superhuman Autonomy via Subdominance Minimization. | Brian D. Ziebart, Sanjiban Choudhury, Xinyan Yan, Paul Vernaza |
| 2021 | ICLR | Blending MPC & Value Function Approximation for Efficient Reinforcement Learning. | Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots |
| 2021 | ICML | Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap. | Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Steven Wu |
| 2021 | IROS | Bayesian Residual Policy Optimization: : Scalable Bayesian Reinforcement Learning with Clairvoyant Experts. | Gilwoo Lee, Brian Hou, Sanjiban Choudhury, Siddhartha S. Srinivasa |
| 2021 | WAFR | Imitation Learning as f-Divergence Minimization. | Liyiming Ke, Sanjiban Choudhury, Matt Barnes, Wen Sun, Gilwoo Lee, Siddhartha S. Srinivasa |
| 2020 | ICRA | Posterior Sampling for Anytime Motion Planning on Graphs with Expensive-to-Evaluate Edges. | Brian Hou, Sanjiban Choudhury, Gilwoo Lee, Aditya Mandalika, Siddhartha S. Srinivasa |
| 2020 | ICRA | ICS: Incremental Constrained Smoothing for State Estimation. | Paloma Sodhi, Sanjiban Choudhury, Joshua G. Mangelson, Michael Kaess |
| 2019 | ICLR | Bayesian Policy Optimization for Model Uncertainty. | Gilwoo Lee, Brian Hou, Aditya Mandalika, Jeongseok Lee, Sanjiban Choudhury, Siddhartha S. Srinivasa |
| 2019 | IROS | Towards a Robust Aerial Cinematography Platform: Localizing and Tracking Moving Targets in Unstructured Environments. | Rogerio Bonatti, Cherie Ho, Wenshan Wang, Sanjiban Choudhury, Sebastian A. Scherer |
| 2019 | IROS | LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based Planning. | Rahul Kumar, Aditya Mandalika, Sanjiban Choudhury, Siddhartha S. Srinivasa |
| 2019 | ISRR | The Blindfolded Robot: A Bayesian Approach to Planning with Contact Feedback. | Brad Saund, Sanjiban Choudhury, Siddhartha S. Srinivasa, Dmitry Berenson |
| 2018 | IJCAI | Bayesian Active Edge Evaluation on Expensive Graphs. | Sanjiban Choudhury, Siddhartha S. Srinivasa, Sebastian A. Scherer |
| 2017 | CoRL | Learning Heuristic Search via Imitation. | Mohak Bhardwaj, Sanjiban Choudhury, Sebastian A. Scherer |
| 2017 | ICRA | Learning to gather information via imitation. | Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Debadeepta Dey |
| 2017 | ICRA | Densification strategies for anytime motion planning over large dense roadmaps. | Shushman Choudhury, Oren Salzman, Sanjiban Choudhury, Siddhartha S. Srinivasa |
| 2017 | ICRA | A κITE in the wind: Smooth trajectory optimization in a moving reference frame. | Vishal Dugar, Sanjiban Choudhury, Sebastian A. Scherer |
| 2017 | ISRR | A Bayesian Active Learning Approach to Adaptive Motion Planning. | Sanjiban Choudhury, Siddhartha S. Srinivasa |
| 2016 | ICRA | Regionally accelerated batch informed trees (RABIT*): A framework to integrate local information into optimal path planning. | Sanjiban Choudhury, Jonathan D. Gammell, Timothy D. Barfoot, Siddhartha S. Srinivasa, Sebastian A. Scherer |
| 2016 | ICRA | List prediction applied to motion planning. | Abhijeet Tallavajhula, Sanjiban Choudhury, Sebastian A. Scherer, Alonzo Kelly |
| 2015 | ICRA | Emergency maneuver library - ensuring safe navigation in partially known environments. | Sankalp Arora, Sanjiban Choudhury, Daniel Althoff, Sebastian A. Scherer |
| 2015 | ICRA | The planner ensemble: Motion planning by executing diverse algorithms. | Sanjiban Choudhury, Sankalp Arora, Sebastian A. Scherer |
| 2015 | ICRA | The Dynamics Projection Filter (DPF) - real-time nonlinear trajectory optimization using projection operators. | Sanjiban Choudhury, Sebastian A. Scherer |
| 2013 | ICRA | RRT*-AR: Sampling-based alternate routes planning with applications to autonomous emergency landing of a helicopter. | Sanjiban Choudhury, Sebastian A. Scherer, Sanjiv Singh |
| 2013 | ICRA | Sparse Tangential Network (SPARTAN): Motion planning for micro aerial vehicles. | Hugh Cover, Sanjiban Choudhury, Sebastian A. Scherer, Sanjiv Singh |