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Dorsa Sadigh

Conditional Imitation Learning for Multi-Agent Games


Jan 05, 2022
Andy Shih, Stefano Ermon, Dorsa Sadigh

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* 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2022 
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PantheonRL: A MARL Library for Dynamic Training Interactions


Dec 13, 2021
Bidipta Sarkar, Aditi Talati, Andy Shih, Dorsa Sadigh

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* 3 pages, 3 figures. Published in Proceedings of the 36th AAAI Conference on Artificial Intelligence (Demo Track) 2022 
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HyperSPNs: Compact and Expressive Probabilistic Circuits


Dec 02, 2021
Andy Shih, Dorsa Sadigh, Stefano Ermon

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* In Advances in Neural Information Processing Systems 34 (NeurIPS), 2021 
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Balancing Efficiency and Comfort in Robot-Assisted Bite Transfer


Nov 22, 2021
Suneel Belkhale, Ethan K. Gordon, Yuxiao Chen, Siddhartha Srinivasa, Tapomayukh Bhattacharjee, Dorsa Sadigh

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LILA: Language-Informed Latent Actions


Nov 05, 2021
Siddharth Karamcheti, Megha Srivastava, Percy Liang, Dorsa Sadigh

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* Accepted at the 5th Conference on Robot Learning (CoRL). Joint first authorship. 21 Pages, 11 Figures 
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From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence


Oct 28, 2021
Nicholas Roy, Ingmar Posner, Tim Barfoot, Philippe Beaudoin, Yoshua Bengio, Jeannette Bohg, Oliver Brock, Isabelle Depatie, Dieter Fox, Dan Koditschek, Tomas Lozano-Perez, Vikash Mansinghka, Christopher Pal, Blake Richards, Dorsa Sadigh, Stefan Schaal, Gaurav Sukhatme, Denis Therien, Marc Toussaint, Michiel Van de Panne

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Learning Feasibility to Imitate Demonstrators with Different Dynamics


Oct 28, 2021
Zhangjie Cao, Yilun Hao, Mengxi Li, Dorsa Sadigh

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* CoRL 2021 
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Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality


Oct 27, 2021
Songyuan Zhang, Zhangjie Cao, Dorsa Sadigh, Yanan Sui

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* 18 pages, 4 figures, 3 tables. Published at Conference on Neural Information Processing Systems (NeurIPS) 2021 
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Open-domain clarification question generation without question examples


Oct 19, 2021
Julia White, Gabriel Poesia, Robert Hawkins, Dorsa Sadigh, Noah Goodman

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* EMNLP 2021 
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Learning Multimodal Rewards from Rankings


Oct 18, 2021
Vivek Myers, Erdem Bıyık, Nima Anari, Dorsa Sadigh

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* 17 pages, 12 figures, 2 tables. Published at Conference on Robot Learning (CoRL) 2021 
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Influencing Towards Stable Multi-Agent Interactions


Oct 05, 2021
Woodrow Z. Wang, Andy Shih, Annie Xie, Dorsa Sadigh

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* 15 pages, 5 figures, Published as an Oral at Conference on Robot Learning (CoRL) 2021 
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Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams


Oct 02, 2021
Erdem Bıyık, Anusha Lalitha, Rajarshi Saha, Andrea Goldsmith, Dorsa Sadigh

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* 14 pages, 14 figures. To be presented at "Artificial Intelligence for Human-Robot Interaction (AI-HRI) at AAAI Fall Symposium Series" 
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Learning Reward Functions from Scale Feedback


Oct 01, 2021
Nils Wilde, Erdem Bıyık, Dorsa Sadigh, Stephen L. Smith

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* 16 pages, 15 figures, 3 tables. Published at Conference on Robot Learning (CoRL) 2021 
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On the Opportunities and Risks of Foundation Models


Aug 18, 2021
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri Chatterji, Annie Chen, Kathleen Creel, Jared Quincy Davis, Dora Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren Gillespie, Karan Goel, Noah Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Kohd, Mark Krass, Ranjay Krishna, Rohith Kuditipudi, Ananya Kumar, Faisal Ladhak, Mina Lee, Tony Lee, Jure Leskovec, Isabelle Levent, Xiang Lisa Li, Xuechen Li, Tengyu Ma, Ali Malik, Christopher D. Manning, Suvir Mirchandani, Eric Mitchell, Zanele Munyikwa, Suraj Nair, Avanika Narayan, Deepak Narayanan, Ben Newman, Allen Nie, Juan Carlos Niebles, Hamed Nilforoshan, Julian Nyarko, Giray Ogut, Laurel Orr, Isabel Papadimitriou, Joon Sung Park, Chris Piech, Eva Portelance, Christopher Potts, Aditi Raghunathan, Rob Reich, Hongyu Ren, Frieda Rong, Yusuf Roohani, Camilo Ruiz, Jack Ryan, Christopher Ré, Dorsa Sadigh, Shiori Sagawa, Keshav Santhanam, Andy Shih, Krishnan Srinivasan, Alex Tamkin, Rohan Taori, Armin W. Thomas, Florian Tramèr, Rose E. Wang, William Wang, Bohan Wu, Jiajun Wu, Yuhuai Wu, Sang Michael Xie, Michihiro Yasunaga, Jiaxuan You, Matei Zaharia, Michael Zhang, Tianyi Zhang, Xikun Zhang, Yuhui Zhang, Lucia Zheng, Kaitlyn Zhou, Percy Liang

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* Authored by the Center for Research on Foundation Models (CRFM) at the Stanford Institute for Human-Centered Artificial Intelligence (HAI) 
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APReL: A Library for Active Preference-based Reward Learning Algorithms


Aug 16, 2021
Erdem Bıyı k, Aditi Talati, Dorsa Sadigh

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* 5 pages, 1 figures. Library is available at: https://github.com/Stanford-ILIAD/APReL 
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Social Coordination and Altruism in Autonomous Driving


Jul 20, 2021
Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, Yaser P. Fallah

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* This paper is submitted to IEEE Transactions on Intelligent Vehicles on June 2021 
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Altruistic Maneuver Planning for Cooperative Autonomous Vehicles Using Multi-agent Advantage Actor-Critic


Jul 12, 2021
Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, Yaser P. Fallah

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* Accepted to 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021) - Workshop on Autonomous Driving: Perception, Prediction and Planning 
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Learning Latent Actions to Control Assistive Robots


Jul 10, 2021
Dylan P. Losey, Hong Jun Jeon, Mengxi Li, Krishnan Srinivasan, Ajay Mandlekar, Animesh Garg, Jeannette Bohg, Dorsa Sadigh

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Social Coordination through Altruism in Autonomous Driving


Jul 06, 2021
Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, Yaser P. Fallah

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* This paper is submitted to IEEE Transactions on Intelligent Transportation Systems on June 2021 
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Cooperative Autonomous Vehicles that Sympathize with Human Drivers


Jul 02, 2021
Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, Yaser P. Fallah

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* Accepted in 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 
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Targeted Data Acquisition for Evolving Negotiation Agents


Jun 16, 2021
Minae Kwon, Siddharth Karamcheti, Mariano-Florentino Cuellar, Dorsa Sadigh

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* The Thirty-eighth International Conference on Machine Learning 
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Emergent Prosociality in Multi-Agent Games Through Gifting


May 13, 2021
Woodrow Z. Wang, Mark Beliaev, Erdem Bıyık, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh

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* 9 pages, 6 figures, IJCAI 2021 
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Learning Visually Guided Latent Actions for Assistive Teleoperation


May 02, 2021
Siddharth Karamcheti, Albert J. Zhai, Dylan P. Losey, Dorsa Sadigh

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* Accepted at Learning for Dynamics and Control (L4DC) 2021. 12 pages, 4 figures 
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On the Critical Role of Conventions in Adaptive Human-AI Collaboration


Apr 07, 2021
Andy Shih, Arjun Sawhney, Jovana Kondic, Stefano Ermon, Dorsa Sadigh

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* 9th International Conference on Learning Representations (ICLR 2021) 
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Learning Human Objectives from Sequences of Physical Corrections


Mar 31, 2021
Mengxi Li, Alper Canberk, Dylan P. Losey, Dorsa Sadigh

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* 7 pages, 4 figures 
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Learning from Imperfect Demonstrations from Agents with Varying Dynamics


Mar 10, 2021
Zhangjie Cao, Dorsa Sadigh

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* Accpeted by ICRA 2021 
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