Sadigh, Dorsa

73 publications

TMLR 2026 Policy Learning with a Language Bottleneck Megha Srivastava, Cédric Colas, Dorsa Sadigh, Jacob Andreas

CoRL 2025 Action-Free Reasoning for Policy Generalization Jaden Clark, Suvir Mirchandani, Dorsa Sadigh, Suneel Belkhale

CoRL 2025 Data Retrieval with Importance Weights for Few-Shot Imitation Learning Amber Xie, Rahul Chand, Dorsa Sadigh, Joey Hejna

ICML 2025 Diffusion Models Are Secretly Exchangeable: Parallelizing DDPMs via Auto Speculation Hengyuan Hu, Aniket Das, Dorsa Sadigh, Nima Anari

CoRL 2025 Gen2Act: Human Video Generation in Novel Scenarios Enables Generalizable Robot Manipulation Homanga Bharadhwaj, Debidatta Dwibedi, Abhinav Gupta, Shubham Tulsiani, Carl Doersch, Ted Xiao, Dhruv Shah, Fei Xia, Dorsa Sadigh, Sean Kirmani

ICML 2025 Latent Diffusion Planning for Imitation Learning Amber Xie, Oleh Rybkin, Dorsa Sadigh, Chelsea Finn

NeurIPS 2025 Scaffolding Dexterous Manipulation with Vision-Language Models Vincent de Bakker, Joey Hejna, Tyler Ga Wei Lum, Onur Celik, Aleksandar Taranovic, Denis Blessing, Gerhard Neumann, Jeannette Bohg, Dorsa Sadigh

ICLR 2025 Vision Language Models Are In-Context Value Learners Yecheng Jason Ma, Joey Hejna, Chuyuan Fu, Dhruv Shah, Jacky Liang, Zhuo Xu, Sean Kirmani, Peng Xu, Danny Driess, Ted Xiao, Osbert Bastani, Dinesh Jayaraman, Wenhao Yu, Tingnan Zhang, Dorsa Sadigh, Fei Xia

ICLR 2025 What's the Move? Hybrid Imitation Learning via Salient Points Priya Sundaresan, Hengyuan Hu, Quan Vuong, Jeannette Bohg, Dorsa Sadigh

ICML 2024 Chain of Code: Reasoning with a Language Model-Augmented Code Emulator Chengshu Li, Jacky Liang, Andy Zeng, Xinyun Chen, Karol Hausman, Dorsa Sadigh, Sergey Levine, Li Fei-Fei, Fei Xia, Brian Ichter

ICLR 2024 Contrastive Preference Learning: Learning from Human Feedback Without Reinforcement Learning Joey Hejna, Rafael Rafailov, Harshit Sikchi, Chelsea Finn, Scott Niekum, W. Bradley Knox, Dorsa Sadigh

CoRL 2024 FlowRetrieval: Flow-Guided Data Retrieval for Few-Shot Imitation Learning Li-Heng Lin, Yuchen Cui, Amber Xie, Tianyu Hua, Dorsa Sadigh

CoRL 2024 OpenVLA: An Open-Source Vision-Language-Action Model Moo Jin Kim, Karl Pertsch, Siddharth Karamcheti, Ted Xiao, Ashwin Balakrishna, Suraj Nair, Rafael Rafailov, Ethan P Foster, Pannag R Sanketi, Quan Vuong, Thomas Kollar, Benjamin Burchfiel, Russ Tedrake, Dorsa Sadigh, Sergey Levine, Percy Liang, Chelsea Finn

ICML 2024 Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models Siddharth Karamcheti, Suraj Nair, Ashwin Balakrishna, Percy Liang, Thomas Kollar, Dorsa Sadigh

CoRL 2024 RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches Priya Sundaresan, Quan Vuong, Jiayuan Gu, Peng Xu, Ted Xiao, Sean Kirmani, Tianhe Yu, Michael Stark, Ajinkya Jain, Karol Hausman, Dorsa Sadigh, Jeannette Bohg, Stefan Schaal

CoRL 2024 ReMix: Optimizing Data Mixtures for Large Scale Imitation Learning Joey Hejna, Chethan Anand Bhateja, Yichen Jiang, Karl Pertsch, Dorsa Sadigh

CoRL 2024 So You Think You Can Scale up Autonomous Robot Data Collection? Suvir Mirchandani, Suneel Belkhale, Joey Hejna, Evelyn Choi, Md Sazzad Islam, Dorsa Sadigh

CVPR 2024 SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities Boyuan Chen, Zhuo Xu, Sean Kirmani, Brain Ichter, Dorsa Sadigh, Leonidas Guibas, Fei Xia

CoRL 2024 Vocal Sandbox: Continual Learning and Adaptation for Situated Human-Robot Collaboration Jennifer Grannen, Siddharth Karamcheti, Suvir Mirchandani, Percy Liang, Dorsa Sadigh

NeurIPSW 2023 Chain of Code: Reasoning with a Language Model-Augmented Code Emulator Chengshu Li, Jacky Liang, Andy Zeng, Xinyun Chen, Karol Hausman, Dorsa Sadigh, Sergey Levine, Li Fei-Fei, Fei Xia, Brian Ichter

NeurIPS 2023 Data Quality in Imitation Learning Suneel Belkhale, Yuchen Cui, Dorsa Sadigh

ICML 2023 Distance Weighted Supervised Learning for Offline Interaction Data Joey Hejna, Jensen Gao, Dorsa Sadigh

NeurIPS 2023 Diverse Conventions for Human-AI Collaboration Bidipta Sarkar, Andy Shih, Dorsa Sadigh

ICML 2023 Generating Language Corrections for Teaching Physical Control Tasks Megha Srivastava, Noah Goodman, Dorsa Sadigh

CoRL 2023 Gesture-Informed Robot Assistance via Foundation Models Li-Heng Lin, Yuchen Cui, Yilun Hao, Fei Xia, Dorsa Sadigh

CoRL 2023 HYDRA: Hybrid Robot Actions for Imitation Learning Suneel Belkhale, Yuchen Cui, Dorsa Sadigh

NeurIPS 2023 Inverse Preference Learning: Preference-Based RL Without a Reward Function Joey Hejna, Dorsa Sadigh

ICMLW 2023 Inverse Preference Learning: Preference-Based RL Without a Reward Function Joey Hejna, Dorsa Sadigh

CoRL 2023 KITE: Keypoint-Conditioned Policies for Semantic Manipulation Priya Sundaresan, Suneel Belkhale, Dorsa Sadigh, Jeannette Bohg

ICML 2023 Language Instructed Reinforcement Learning for Human-AI Coordination Hengyuan Hu, Dorsa Sadigh

CoRL 2023 Language to Rewards for Robotic Skill Synthesis Wenhao Yu, Nimrod Gileadi, Chuyuan Fu, Sean Kirmani, Kuang-Huei Lee, Montserrat Gonzalez Arenas, Hao-Tien Lewis Chiang, Tom Erez, Leonard Hasenclever, Jan Humplik, Brian Ichter, Ted Xiao, Peng Xu, Andy Zeng, Tingnan Zhang, Nicolas Heess, Dorsa Sadigh, Jie Tan, Yuval Tassa, Fei Xia

CoRL 2023 Large Language Models as General Pattern Machines Suvir Mirchandani, Fei Xia, Pete Florence, Brian Ichter, Danny Driess, Montserrat Gonzalez Arenas, Kanishka Rao, Dorsa Sadigh, Andy Zeng

CoRL 2023 Learning Sequential Acquisition Policies for Robot-Assisted Feeding Priya Sundaresan, Jiajun Wu, Dorsa Sadigh

ICML 2023 Long Horizon Temperature Scaling Andy Shih, Dorsa Sadigh, Stefano Ermon

TMLR 2023 Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback Stephen Casper, Xander Davies, Claudia Shi, Thomas Krendl Gilbert, Jérémy Scheurer, Javier Rando, Rachel Freedman, Tomek Korbak, David Lindner, Pedro Freire, Tony Tong Wang, Samuel Marks, Charbel-Raphael Segerie, Micah Carroll, Andi Peng, Phillip J.K. Christoffersen, Mehul Damani, Stewart Slocum, Usman Anwar, Anand Siththaranjan, Max Nadeau, Eric J Michaud, Jacob Pfau, Dmitrii Krasheninnikov, Xin Chen, Lauro Langosco, Peter Hase, Erdem Biyik, Anca Dragan, David Krueger, Dorsa Sadigh, Dylan Hadfield-Menell

NeurIPS 2023 Parallel Sampling of Diffusion Models Andy Shih, Suneel Belkhale, Stefano Ermon, Dorsa Sadigh, Nima Anari

ICMLW 2023 Parallel Sampling of Diffusion Models Andy Shih, Suneel Belkhale, Stefano Ermon, Dorsa Sadigh, Nima Anari

CoRL 2023 Polybot: Training One Policy Across Robots While Embracing Variability Jonathan Heewon Yang, Dorsa Sadigh, Chelsea Finn

ICLR 2023 Reward Design with Language Models Minae Kwon, Sang Michael Xie, Kalesha Bullard, Dorsa Sadigh

NeurIPS 2023 RoboCLIP: One Demonstration Is Enough to Learn Robot Policies Sumedh Sontakke, Jesse Zhang, Séb Arnold, Karl Pertsch, Erdem Bıyık, Dorsa Sadigh, Chelsea Finn, Laurent Itti

CoRL 2023 Robots That Ask for Help: Uncertainty Alignment for Large Language Model Planners Allen Z. Ren, Anushri Dixit, Alexandra Bodrova, Sumeet Singh, Stephen Tu, Noah Brown, Peng Xu, Leila Takayama, Fei Xia, Jake Varley, Zhenjia Xu, Dorsa Sadigh, Andy Zeng, Anirudha Majumdar

CoRL 2023 Stabilize to Act: Learning to Coordinate for Bimanual Manipulation Jennifer Grannen, Yilin Wu, Brandon Vu, Dorsa Sadigh

NeurIPSW 2023 Strategic Reasoning with Language Models Kanishk Gandhi, Dorsa Sadigh, Noah Goodman

NeurIPS 2022 Assistive Teaching of Motor Control Tasks to Humans Megha Srivastava, Erdem Biyik, Suvir Mirchandani, Noah Goodman, Dorsa Sadigh

CoRL 2022 Eliciting Compatible Demonstrations for Multi-Human Imitation Learning Kanishk Gandhi, Siddharth Karamcheti, Madeline Liao, Dorsa Sadigh

CoRL 2022 Few-Shot Preference Learning for Human-in-the-Loop RL Donald Joseph Hejna Iii, Dorsa Sadigh

ICML 2022 Imitation Learning by Estimating Expertise of Demonstrators Mark Beliaev, Andy Shih, Stefano Ermon, Dorsa Sadigh, Ramtin Pedarsani

CoRL 2022 Learning Bimanual Scooping Policies for Food Acquisition Jennifer Grannen, Yilin Wu, Suneel Belkhale, Dorsa Sadigh

CoRL 2022 Learning Visuo-Haptic Skewering Strategies for Robot-Assisted Feeding Priya Sundaresan, Suneel Belkhale, Dorsa Sadigh

CoRL 2022 PLATO: Predicting Latent Affordances Through Object-Centric Play Suneel Belkhale, Dorsa Sadigh

AAAI 2022 PantheonRL: A MARL Library for Dynamic Training Interactions Bidipta Sarkar, Aditi Talati, Andy Shih, Dorsa Sadigh

AAAI 2022 Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams Erdem Biyik, Anusha Lalitha, Rajarshi Saha, Andrea Goldsmith, Dorsa Sadigh

NeurIPS 2022 Training and Inference on Any-Order Autoregressive Models the Right Way Andy Shih, Dorsa Sadigh, Stefano Ermon

NeurIPS 2021 Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality Songyuan Zhang, Zhangjie Cao, Dorsa Sadigh, Yanan Sui

NeurIPS 2021 ELLA: Exploration Through Learned Language Abstraction Suvir Mirchandani, Siddharth Karamcheti, Dorsa Sadigh

IJCAI 2021 Emergent Prosociality in Multi-Agent Games Through Gifting Woodrow Z. Wang, Mark Beliaev, Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh

NeurIPS 2021 HyperSPNs: Compact and Expressive Probabilistic Circuits Andy Shih, Dorsa Sadigh, Stefano Ermon

CoRL 2021 Influencing Towards Stable Multi-Agent Interactions Woodrow Zhouyuan Wang, Andy Shih, Annie Xie, Dorsa Sadigh

CoRL 2021 LILA: Language-Informed Latent Actions Siddharth Karamcheti, Megha Srivastava, Percy Liang, Dorsa Sadigh

CoRL 2021 Learning Feasibility to Imitate Demonstrators with Different Dynamics Zhangjie Cao, Yilun Hao, Mengxi Li, Dorsa Sadigh

CoRL 2021 Learning Multimodal Rewards from Rankings Vivek Myers, Erdem Biyik, Nima Anari, Dorsa Sadigh

CoRL 2021 Learning Reward Functions from Scale Feedback Nils Wilde, Erdem Biyik, Dorsa Sadigh, Stephen L. Smith

L4DC 2021 Learning Visually Guided Latent Actions for Assistive Teleoperation Siddharth Karamcheti, Albert J. Zhai, Dylan P. Losey, Dorsa Sadigh

ICLR 2021 On the Critical Role of Conventions in Adaptive Human-AI Collaboration Andy Shih, Arjun Sawhney, Jovana Kondic, Stefano Ermon, Dorsa Sadigh

ICML 2021 Targeted Data Acquisition for Evolving Negotiation Agents Minae Kwon, Siddharth Karamcheti, Mariano-Florentino Cuellar, Dorsa Sadigh

L4DC 2020 Fitting a Linear Control Policy to Demonstrations with a Kalman Constraint Malayandi Palan, Shane Barratt, Alex McCauley, Dorsa Sadigh, Vikas Sindhwani, Stephen Boyd

CoRL 2020 Learning Latent Representations to Influence Multi-Agent Interaction Annie Xie, Dylan Losey, Ryan Tolsma, Chelsea Finn, Dorsa Sadigh

CoRL 2019 Asking Easy Questions: A User-Friendly Approach to Active Reward Learning Erdem Bıyık, Malayandi Palan, Nicholas C. Landolfi, Dylan P. Losey, Dorsa Sadigh

ICMLW 2019 Continual Adaptation for Efficient Machine Communication Robert Hawkins, Minae Kwon, Dorsa Sadigh, Noah Goodman

CoRL 2019 Learning from My Partner’s Actions: Roles in Decentralized Robot Teams Dylan P. Losey, Mengxi Li, Jeannette Bohg, Dorsa Sadigh

CoRL 2018 Batch Active Preference-Based Learning of Reward Functions Erdem Biyik, Dorsa Sadigh

NeurIPS 2018 Multi-Agent Generative Adversarial Imitation Learning Jiaming Song, Hongyu Ren, Dorsa Sadigh, Stefano Ermon