Dorsa Sadigh
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
93
Venues
16
Active years
2011–2025
Best venue rank
A*
Where they publish
Papers
93 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | HRI | Shared Autonomy for Proximal Teaching. | Megha Srivastava, Reihaneh Iranmanesh, Yuchen Cui, Deepak Edakkattil Gopinath, Emily Sarah Sumner, Andrew Silva, Laporsha Dees, Guy Rosman, Dorsa Sadigh |
| 2025 | ICLR | 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 |
| 2025 | ICLR | What's the Move? Hybrid Imitation Learning via Salient Points. | Priya Sundaresan, Hengyuan Hu, Quan Vuong, Jeannette Bohg, Dorsa Sadigh |
| 2025 | ICML | Diffusion Models are Secretly Exchangeable: Parallelizing DDPMs via Auto Speculation. | Hengyuan Hu, Aniket Das, Dorsa Sadigh, Nima Anari |
| 2025 | ICML | Latent Diffusion Planning for Imitation Learning. | Amber Xie, Oleh Rybkin, Dorsa Sadigh, Chelsea Finn |
| 2025 | ICRA | Efficiently Generating Expressive Quadruped Behaviors via Language-Guided Preference Learning. | Jaden Clark, Joey Hejna, Dorsa Sadigh |
| 2025 | ICRA | How to Train Your Robots? The Impact of Demonstration Modality on Imitation Learning. | Haozhuo Li, Yuchen Cui, Dorsa Sadigh |
| 2025 | ICRA | RoboCrowd: Scaling Robot Data Collection Through Crowdsourcing. | Suvir Mirchandani, David D. Yuan, Kaylee Burns, Md Sazzad Islam, Tony Z. Zhao, Chelsea Finn, Dorsa Sadigh |
| 2025 | ICRA | RT-Affordance: Affordances are Versatile Intermediate Representations for Robot Manipulation. | Soroush Nasiriany, Sean Kirmani, Tianli Ding, Laura Smith, Yuke Zhu, Danny Driess, Dorsa Sadigh, Ted Xiao |
| 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 |
| 2024 | CoRL | Vocal Sandbox: Continual Learning and Adaptation for Situated Human-Robot Collaboration. | Jennifer Grannen, Siddharth Karamcheti, Suvir Mirchandani, Percy Liang, Dorsa Sadigh |
| 2024 | CoRL | ReMix: Optimizing Data Mixtures for Large Scale Imitation Learning. | Joey Hejna, Chethan Anand Bhateja, Yichen Jiang, Karl Pertsch, Dorsa Sadigh |
| 2024 | CoRL | OpenVLA: An Open-Source Vision-Language-Action Model. | Moo Jin Kim, Karl Pertsch, Siddharth Karamcheti, Ted Xiao, Ashwin Balakrishna, Suraj Nair, Rafael Rafailov, Ethan Paul Foster, Pannag R. Sanketi, Quan Vuong, Thomas Kollar, Benjamin Burchfiel, Russ Tedrake, Dorsa Sadigh, Sergey Levine, Percy Liang, Chelsea Finn |
| 2024 | CoRL | FlowRetrieval: Flow-Guided Data Retrieval for Few-Shot Imitation Learning. | Li-Heng Lin, Yuchen Cui, Amber Xie, Tianyu Hua, Dorsa Sadigh |
| 2024 | CoRL | So You Think You Can Scale Up Autonomous Robot Data Collection? | Suvir Mirchandani, Suneel Belkhale, Joey Hejna, Evelyn Choi, Md Sazzad Islam, Dorsa Sadigh |
| 2024 | CoRL | 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 |
| 2024 | CVPR | SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities. | Boyuan Chen, Zhuo Xu, Sean Kirmani, Brian Ichter, Dorsa Sadigh, Leonidas J. Guibas, Fei Xia |
| 2024 | HRI | Generative Expressive Robot Behaviors using Large Language Models. | Karthik Mahadevan, Jonathan Chien, Noah Brown, Zhuo Xu, Carolina Parada, Fei Xia, Andy Zeng, Leila Takayama, Dorsa Sadigh |
| 2024 | ICLR | 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 |
| 2024 | ICML | 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 |
| 2024 | ICML | Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models. | Siddharth Karamcheti, Suraj Nair, Ashwin Balakrishna, Percy Liang, Thomas Kollar, Dorsa Sadigh |
| 2024 | ICRA | How to Prompt Your Robot: A PromptBook for Manipulation Skills with Code as Policies. | Montserrat Gonzalez Arenas, Ted Xiao, Sumeet Singh, Vidhi Jain, Allen Z. Ren, Quan Vuong, Jake Varley, Alexander Herzog, Isabel Leal, Sean Kirmani, Mario Prats, Dorsa Sadigh, Vikas Sindhwani, Kanishka Rao, Jacky Liang, Andy Zeng |
| 2024 | ICRA | Physically Grounded Vision-Language Models for Robotic Manipulation. | Jensen Gao, Bidipta Sarkar, Fei Xia, Ted Xiao, Jiajun Wu, Brian Ichter, Anirudha Majumdar, Dorsa Sadigh |
| 2024 | ICRA | Toward Grounded Commonsense Reasoning. | Minae Kwon, Hengyuan Hu, Vivek Myers, Siddharth Karamcheti, Anca D. Dragan, Dorsa Sadigh |
| 2024 | ICRA | Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. | Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew E. Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schlkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Bchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey T. Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, Joo Silvrio, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Snderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martn-Martn, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante-Gomez, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin |
| 2024 | ICRA | Distilling and Retrieving Generalizable Knowledge for Robot Manipulation via Language Corrections. | Lihan Zha, Yuchen Cui, Li-Heng Lin, Minae Kwon, Montserrat Gonzalez Arenas, Andy Zeng, Fei Xia, Dorsa Sadigh |
| 2023 | CoRL | 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 |
| 2023 | CoRL | HYDRA: Hybrid Robot Actions for Imitation Learning. | Suneel Belkhale, Yuchen Cui, Dorsa Sadigh |
| 2023 | CoRL | Stabilize to Act: Learning to Coordinate for Bimanual Manipulation. | Jennifer Grannen, Yilin Wu, Brandon Vu, Dorsa Sadigh |
| 2023 | CoRL | Gesture-Informed Robot Assistance via Foundation Models. | Li-Heng Lin, Yuchen Cui, Yilun Hao, Fei Xia, Dorsa Sadigh |
| 2023 | CoRL | 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 |
| 2023 | CoRL | 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 |
| 2023 | CoRL | Learning Sequential Acquisition Policies for Robot-Assisted Feeding. | Priya Sundaresan, Jiajun Wu, Dorsa Sadigh |
| 2023 | CoRL | KITE: Keypoint-Conditioned Policies for Semantic Manipulation. | Priya Sundaresan, Suneel Belkhale, Dorsa Sadigh, Jeannette Bohg |
| 2023 | CoRL | Polybot: Training One Policy Across Robots While Embracing Variability. | Jonathan Heewon Yang, Dorsa Sadigh, Chelsea Finn |
| 2023 | HRI | No, to the Right: Online Language Corrections for Robotic Manipulation via Shared Autonomy. | Yuchen Cui, Siddharth Karamcheti, Raj Palleti, Nidhya Shivakumar, Percy Liang, Dorsa Sadigh |
| 2023 | ICLR | Reward Design with Language Models. | Minae Kwon, Sang Michael Xie, Kalesha Bullard, Dorsa Sadigh |
| 2023 | ICML | Distance Weighted Supervised Learning for Offline Interaction Data. | Joey Hejna, Jensen Gao, Dorsa Sadigh |
| 2023 | ICML | Language Instructed Reinforcement Learning for Human-AI Coordination. | Hengyuan Hu, Dorsa Sadigh |
| 2023 | ICML | Long Horizon Temperature Scaling. | Andy Shih, Dorsa Sadigh, Stefano Ermon |
| 2023 | ICML | Generating Language Corrections for Teaching Physical Control Tasks. | Megha Srivastava, Noah D. Goodman, Dorsa Sadigh |
| 2023 | ICRA | Learning Tool Morphology for Contact-Rich Manipulation Tasks with Differentiable Simulation. | Mengxi Li, Rika Antonova, Dorsa Sadigh, Jeannette Bohg |
| 2023 | ICRA | Active Reward Learning from Online Preferences. | Vivek Myers, Erdem Biyik, Dorsa Sadigh |
| 2023 | IROS | Soy: An Efficient MILP Solver for Piecewise-Affine Systems. | Haoze Wu, Min Wu, Dorsa Sadigh, Clark W. Barrett |
| 2023 | IROS | Masked Imitation Learning: Discovering Environment-Invariant Modalities in Multimodal Demonstrations. | Yilun Hao, Ruinan Wang, Zhangjie Cao, Zihan Wang, Yuchen Cui, Dorsa Sadigh |
| 2023 | ICRA | In-Mouth Robotic Bite Transfer with Visual and Haptic Sensing. | Lorenzo Shaikewitz, Yilin Wu, Suneel Belkhale, Jennifer Grannen, Priya Sundaresan, Dorsa Sadigh |
| 2022 | AAAI | Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams. | Erdem Biyik, Anusha Lalitha, Rajarshi Saha, Andrea Goldsmith, Dorsa Sadigh |
| 2022 | AAAI | PantheonRL: A MARL Library for Dynamic Training Interactions. | Bidipta Sarkar, Aditi Talati, Andy Shih, Dorsa Sadigh |
| 2022 | CogSci | How do people incorporate advice from artificial agents when making physical judgments? | Erik Brockbank, Haoliang Wang, Justin Yang, Suvir Mirchandani, Erdem Biyik, Dorsa Sadigh, Judith E. Fan |
| 2022 | CoRL | PLATO: Predicting Latent Affordances Through Object-Centric Play. | Suneel Belkhale, Dorsa Sadigh |
| 2022 | CoRL | Eliciting Compatible Demonstrations for Multi-Human Imitation Learning. | Kanishk Gandhi, Siddharth Karamcheti, Madeline Liao, Dorsa Sadigh |
| 2022 | CoRL | Learning Bimanual Scooping Policies for Food Acquisition. | Jennifer Grannen, Yilin Wu, Suneel Belkhale, Dorsa Sadigh |
| 2022 | CoRL | Few-Shot Preference Learning for Human-in-the-Loop RL. | Donald Joseph Hejna III, Dorsa Sadigh |
| 2022 | CoRL | Learning Visuo-Haptic Skewering Strategies for Robot-Assisted Feeding. | Priya Sundaresan, Suneel Belkhale, Dorsa Sadigh |
| 2022 | HRI | APReL: A Library for Active Preference-based Reward Learning Algorithms. | Erdem Biyik, Aditi Talati, Dorsa Sadigh |
| 2022 | HRI | Conditional Imitation Learning for Multi-Agent Games. | Andy Shih, Stefano Ermon, Dorsa Sadigh |
| 2022 | ICML | Imitation Learning by Estimating Expertise of Demonstrators. | Mark Beliaev, Andy Shih, Stefano Ermon, Dorsa Sadigh, Ramtin Pedarsani |
| 2022 | ICRA | Balancing Efficiency and Comfort in Robot-Assisted Bite Transfer. | Suneel Belkhale, Ethan K. Gordon, Yuxiao Chen, Siddhartha S. Srinivasa, Tapomayukh Bhattacharjee, Dorsa Sadigh |
| 2022 | ICRA | Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction. | Zhangjie Cao, Erdem Biyik, Guy Rosman, Dorsa Sadigh |
| 2022 | ICRA | Learning from Imperfect Demonstrations via Adversarial Confidence Transfer. | Zhangjie Cao, Zihan Wang, Dorsa Sadigh |
| 2022 | ICRA | Weakly Supervised Correspondence Learning. | Zihan Wang, Zhangjie Cao, Yilun Hao, Dorsa Sadigh |
| 2021 | CoRL | Learning Feasibility to Imitate Demonstrators with Different Dynamics. | Zhangjie Cao, Yilun Hao, Mengxi Li, Dorsa Sadigh |
| 2021 | CoRL | LILA: Language-Informed Latent Actions. | Siddharth Karamcheti, Megha Srivastava, Percy Liang, Dorsa Sadigh |
| 2021 | CoRL | Learning Multimodal Rewards from Rankings. | Vivek Myers, Erdem Biyik, Nima Anari, Dorsa Sadigh |
| 2021 | CoRL | Influencing Towards Stable Multi-Agent Interactions. | Woodrow Zhouyuan Wang, Andy Shih, Annie Xie, Dorsa Sadigh |
| 2021 | CoRL | Learning Reward Functions from Scale Feedback. | Nils Wilde, Erdem Biyik, Dorsa Sadigh, Stephen L. Smith |
| 2021 | EMNLP | Open-domain clarification question generation without question examples. | Julia White, Gabriel Poesia, Robert X. D. Hawkins, Dorsa Sadigh, Noah D. Goodman |
| 2021 | ICLR | On the Critical Role of Conventions in Adaptive Human-AI Collaboration. | Andy Shih, Arjun Sawhney, Jovana Kondic, Stefano Ermon, Dorsa Sadigh |
| 2021 | ICML | Targeted Data Acquisition for Evolving Negotiation Agents. | Minae Kwon, Siddharth Karamcheti, Mariano-Florentino Cuellar, Dorsa Sadigh |
| 2021 | IJCAI | Emergent Prosociality in Multi-Agent Games Through Gifting. | Woodrow Z. Wang, Mark Beliaev, Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh |
| 2021 | ICRA | Learning Human Objectives from Sequences of Physical Corrections. | Mengxi Li, Alper Canberk, Dylan P. Losey, Dorsa Sadigh |
| 2021 | ICRA | ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes. | Kejun Li, Maegan Tucker, Erdem Biyik, Ellen R. Novoseller, Joel W. Burdick, Yanan Sui, Dorsa Sadigh, Yisong Yue, Aaron D. Ames |
| 2021 | IROS | Cooperative Autonomous Vehicles that Sympathize with Human Drivers. | Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, Yaser P. Fallah |
| 2020 | CoNLL | Continual Adaptation for Efficient Machine Communication. | Robert X. D. Hawkins, Minae Kwon, Dorsa Sadigh, Noah D. Goodman |
| 2020 | CoRL | Learning Latent Representations to Influence Multi-Agent Interaction. | Annie Xie, Dylan P. Losey, Ryan Tolsma, Chelsea Finn, Dorsa Sadigh |
| 2020 | HRI | When Humans Aren't Optimal: Robots that Collaborate with Risk-Aware Humans. | Minae Kwon, Erdem Biyik, Aditi Talati, Karan Bhasin, Dylan P. Losey, Dorsa Sadigh |
| 2020 | ICRA | Controlling Assistive Robots with Learned Latent Actions. | Dylan P. Losey, Krishnan Srinivasan, Ajay Mandlekar, Animesh Garg, Dorsa Sadigh |
| 2020 | IROS | Learning User-Preferred Mappings for Intuitive Robot Control. | Mengxi Li, Dylan P. Losey, Jeannette Bohg, Dorsa Sadigh |
| 2020 | IROS | Multi-Agent Safe Planning with Gaussian Processes. | Zheqing Zhu, Erdem Biyik, Dorsa Sadigh |
| 2019 | CoRL | Asking Easy Questions: A User-Friendly Approach to Active Reward Learning. | Erdem Biyik, Malayandi Palan, Nicholas C. Landolfi, Dylan P. Losey, Dorsa Sadigh |
| 2019 | CoRL | Learning from My Partner's Actions: Roles in Decentralized Robot Teams. | Dylan P. Losey, Mengxi Li, Jeannette Bohg, Dorsa Sadigh |
| 2019 | FMCAD | Safe and Interactive Autonomy: A Journey Starting from Formal Methods (Keynote). | Dorsa Sadigh |
| 2019 | ICRA | Hierarchical Game-Theoretic Planning for Autonomous Vehicles. | Jaime F. Fisac, Eli Bronstein, Elis Stefansson, Dorsa Sadigh, S. Shankar Sastry, Anca D. Dragan |
| 2019 | ICRA | Deep Local Trajectory Replanning and Control for Robot Navigation. | Ashwini Pokle, Roberto Martn-Martn, Patrick Goebel, Vincent Chow, Hans M. Ewald, Junwei Yang, Zhenkai Wang, Amir Sadeghian, Dorsa Sadigh, Silvio Savarese, Marynel Vzquez |
| 2019 | IROS | Active Learning of Reward Dynamics from Hierarchical Queries. | Chandrayee Basu, Erdem Biyik, Zhixun He, Mukesh Singhal, Dorsa Sadigh |
| 2019 | IROS | Robots that Take Advantage of Human Trust. | Dylan P. Losey, Dorsa Sadigh |
| 2018 | CoRL | Batch Active Preference-Based Learning of Reward Functions. | Erdem Biyik, Dorsa Sadigh |
| 2018 | ICLR | Multi-Agent Generative Adversarial Imitation Learning. | Jiaming Song, Hongyu Ren, Dorsa Sadigh, Stefano Ermon |
| 2018 | WAFR | Altruistic Autonomy: Beating Congestion on Shared Roads. | Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh |
| 2016 | IROS | Information gathering actions over human internal state. | Dorsa Sadigh, S. Shankar Sastry, Sanjit A. Seshia, Anca D. Dragan |
| 2015 | DAC | Formal methods for semi-autonomous driving. | Sanjit A. Seshia, Dorsa Sadigh, S. Shankar Sastry |
| 2014 | TACAS | Synthesis for Human-in-the-Loop Control Systems. | Wenchao Li, Dorsa Sadigh, S. Shankar Sastry, Sanjit A. Seshia |
| 2011 | FMCAD | Timing analysis of interrupt-driven programs under context bounds. | Jonathan Kotker, Dorsa Sadigh, Sanjit A. Seshia |