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2020 – today
- 2023
[c81]Yuchen Cui, Siddharth Karamcheti, Raj Palleti, Nidhya Shivakumar, Percy Liang, Dorsa Sadigh:
No, to the Right: Online Language Corrections for Robotic Manipulation via Shared Autonomy. HRI 2023: 93-101- [e1]Steven M. LaValle, Jason M. O'Kane, Michael W. Otte, Dorsa Sadigh, Pratap Tokekar:
Algorithmic Foundations of Robotics XV - Proceedings of the Fifteenth Workshop on the Algorithmic Foundations of Robotics, WAFR 2022, College Park, MD, USA, 22-24 June, 2022. Springer Proceedings in Advanced Robotics 25, Springer 2023, ISBN 978-3-031-21089-1 [contents] - [i86]Yuchen Cui, Siddharth Karamcheti, Raj Palleti, Nidhya Shivakumar, Percy Liang, Dorsa Sadigh:
"No, to the Right" - Online Language Corrections for Robotic Manipulation via Shared Autonomy. CoRR abs/2301.02555 (2023) - [i85]Andy Shih, Dorsa Sadigh, Stefano Ermon:
Long Horizon Temperature Scaling. CoRR abs/2302.03686 (2023) - [i84]Siddharth Karamcheti, Suraj Nair, Annie S. Chen, Thomas Kollar, Chelsea Finn, Dorsa Sadigh, Percy Liang:
Language-Driven Representation Learning for Robotics. CoRR abs/2302.12766 (2023) - [i83]Vivek Myers, Erdem Biyik, Dorsa Sadigh:
Active Reward Learning from Online Preferences. CoRR abs/2302.13507 (2023) - [i82]Minae Kwon, Sang Michael Xie, Kalesha Bullard, Dorsa Sadigh:
Reward Design with Language Models. CoRR abs/2303.00001 (2023) - 2022
- [j13]Dylan P. Losey, Hong Jun Jeon, Mengxi Li, Krishnan Srinivasan
, Ajay Mandlekar, Animesh Garg, Jeannette Bohg, Dorsa Sadigh:
Learning latent actions to control assistive robots. Auton. Robots 46(1): 115-147 (2022) - [j12]Shushman Choudhury, Jayesh K. Gupta, Mykel J. Kochenderfer, Dorsa Sadigh, Jeannette Bohg:
Dynamic multi-robot task allocation under uncertainty and temporal constraints. Auton. Robots 46(1): 231-247 (2022) - [j11]Sanjit A. Seshia, Dorsa Sadigh, S. Shankar Sastry:
Toward verified artificial intelligence. Commun. ACM 65(7): 46-55 (2022) - [j10]Erdem Biyik, Dylan P. Losey, Malayandi Palan, Nicholas C. Landolfi, Gleb Shevchuk, Dorsa Sadigh:
Learning reward functions from diverse sources of human feedback: Optimally integrating demonstrations and preferences. Int. J. Robotics Res. 41(1): 45-67 (2022) - [j9]Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, Yaser P. Fallah:
Social Coordination and Altruism in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 23(12): 24791-24804 (2022) - [c80]Erdem Biyik, Anusha Lalitha, Rajarshi Saha, Andrea Goldsmith, Dorsa Sadigh:
Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams. AAAI 2022: 9296-9303 - [c79]Bidipta Sarkar, Aditi Talati, Andy Shih, Dorsa Sadigh:
PantheonRL: A MARL Library for Dynamic Training Interactions. AAAI 2022: 13221-13223 - [c78]Priya Sundaresan, Suneel Belkhale, Dorsa Sadigh:
Learning Visuo-Haptic Skewering Strategies for Robot-Assisted Feeding. CoRL 2022: 332-341 - [c77]Suneel Belkhale, Dorsa Sadigh:
PLATO: Predicting Latent Affordances Through Object-Centric Play. CoRL 2022: 1424-1434 - [c76]Jennifer Grannen, Yilin Wu, Suneel Belkhale, Dorsa Sadigh:
Learning Bimanual Scooping Policies for Food Acquisition. CoRL 2022: 1510-1519 - [c75]Kanishk Gandhi, Siddharth Karamcheti, Madeline Liao, Dorsa Sadigh:
Eliciting Compatible Demonstrations for Multi-Human Imitation Learning. CoRL 2022: 1981-1991 - [c74]Donald Joseph Hejna III, Dorsa Sadigh:
Few-Shot Preference Learning for Human-in-the-Loop RL. CoRL 2022: 2014-2025 - [c73]Andy Shih, Stefano Ermon, Dorsa Sadigh:
Conditional Imitation Learning for Multi-Agent Games. HRI 2022: 166-175 - [c72]Erdem Biyik, Aditi Talati, Dorsa Sadigh:
APReL: A Library for Active Preference-based Reward Learning Algorithms. HRI 2022: 613-617 - [c71]Mark Beliaev, Andy Shih, Stefano Ermon, Dorsa Sadigh, Ramtin Pedarsani:
Imitation Learning by Estimating Expertise of Demonstrators. ICML 2022: 1732-1748 - [c70]Zhangjie Cao, Zihan Wang, Dorsa Sadigh:
Learning from Imperfect Demonstrations via Adversarial Confidence Transfer. ICRA 2022: 441-447 - [c69]Zihan Wang, Zhangjie Cao, Yilun Hao, Dorsa Sadigh:
Weakly Supervised Correspondence Learning. ICRA 2022: 469-476 - [c68]Suneel Belkhale, Ethan K. Gordon, Yuxiao Chen, Siddhartha S. Srinivasa, Tapomayukh Bhattacharjee, Dorsa Sadigh:
Balancing Efficiency and Comfort in Robot-Assisted Bite Transfer. ICRA 2022: 4757-4763 - [c67]Zhangjie Cao, Erdem Biyik, Guy Rosman, Dorsa Sadigh:
Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction. ICRA 2022: 10723-10730 - [i81]Andy Shih, Stefano Ermon, Dorsa Sadigh:
Conditional Imitation Learning for Multi-Agent Games. CoRR abs/2201.01448 (2022) - [i80]Mark Beliaev, Andy Shih, Stefano Ermon, Dorsa Sadigh, Ramtin Pedarsani:
Imitation Learning by Estimating Expertise of Demonstrators. CoRR abs/2202.01288 (2022) - [i79]Zhangjie Cao, Zihan Wang, Dorsa Sadigh:
Learning from Imperfect Demonstrations via Adversarial Confidence Transfer. CoRR abs/2202.02967 (2022) - [i78]Zihan Wang, Zhangjie Cao, Yilun Hao, Dorsa Sadigh:
Weakly Supervised Correspondence Learning. CoRR abs/2203.00904 (2022) - [i77]Zhangjie Cao, Erdem Biyik, Guy Rosman, Dorsa Sadigh:
Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction. CoRR abs/2203.04421 (2022) - [i76]Suneel Belkhale, Dorsa Sadigh:
PLATO: Predicting Latent Affordances Through Object-Centric Play. CoRR abs/2203.05630 (2022) - [i75]Erik Brockbank, Haoliang Wang, Justin Yang, Suvir Mirchandani, Erdem Biyik, Dorsa Sadigh, Judith E. Fan:
How do people incorporate advice from artificial agents when making physical judgments? CoRR abs/2205.11613 (2022) - [i74]Andy Shih, Dorsa Sadigh, Stefano Ermon:
Training and Inference on Any-Order Autoregressive Models the Right Way. CoRR abs/2205.13554 (2022) - [i73]Yilun Hao, Ruinan Wang, Zhangjie Cao, Zihan Wang, Yuchen Cui, Dorsa Sadigh:
Masked Imitation Learning: Discovering Environment-Invariant Modalities in Multimodal Demonstrations. CoRR abs/2209.07682 (2022) - [i72]Kanishk Gandhi, Siddharth Karamcheti, Madeline Liao, Dorsa Sadigh:
Eliciting Compatible Demonstrations for Multi-Human Imitation Learning. CoRR abs/2210.08073 (2022) - [i71]Mengxi Li, Rika Antonova, Dorsa Sadigh, Jeannette Bohg:
Learning Tool Morphology for Contact-Rich Manipulation Tasks with Differentiable Simulation. CoRR abs/2211.02201 (2022) - [i70]Lorenzo Shaikewitz, Yilin Wu, Suneel Belkhale, Jennifer Grannen, Priya Sundaresan, Dorsa Sadigh:
In-Mouth Robotic Bite Transfer with Visual and Haptic Sensing. CoRR abs/2211.12705 (2022) - [i69]Megha Srivastava, Erdem Biyik, Suvir Mirchandani, Noah D. Goodman, Dorsa Sadigh:
Assistive Teaching of Motor Control Tasks to Humans. CoRR abs/2211.14003 (2022) - [i68]Priya Sundaresan, Suneel Belkhale, Dorsa Sadigh:
Learning Visuo-Haptic Skewering Strategies for Robot-Assisted Feeding. CoRR abs/2211.14648 (2022) - [i67]Jennifer Grannen, Yilin Wu, Suneel Belkhale, Dorsa Sadigh:
Learning Bimanual Scooping Policies for Food Acquisition. CoRR abs/2211.14652 (2022) - [i66]Joey Hejna, Dorsa Sadigh:
Few-Shot Preference Learning for Human-in-the-Loop RL. CoRR abs/2212.03363 (2022) - 2021
- [j8]Mengxi Li, Minae Kwon, Dorsa Sadigh:
Influencing leading and following in human-robot teams. Auton. Robots 45(7): 959-978 (2021) - [j7]Hadas Kress-Gazit, Kerstin Eder, Guy Hoffman, Henny Admoni, Brenna Argall, Rüdiger Ehlers, Christoffer Heckman, Nils Jansen, Ross A. Knepper, Jan Kretínský, Shelly Levy-Tzedek, Jamy Li, Todd D. Murphey, Laurel D. Riek, Dorsa Sadigh:
Formalizing and guaranteeing human-robot interaction. Commun. ACM 64(9): 78-84 (2021) - [j6]Zhangjie Cao, Minae Kwon, Dorsa Sadigh:
Transfer Reinforcement Learning Across Homotopy Classes. IEEE Robotics Autom. Lett. 6(2): 2706-2713 (2021) - [j5]Zhangjie Cao, Dorsa Sadigh:
Learning From Imperfect Demonstrations From Agents With Varying Dynamics. IEEE Robotics Autom. Lett. 6(3): 5231-5238 (2021) - [j4]Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh:
Incentivizing Efficient Equilibria in Traffic Networks With Mixed Autonomy. IEEE Trans. Control. Netw. Syst. 8(4): 1717-1729 (2021) - [c66]Vivek Myers, Erdem Biyik, Nima Anari, Dorsa Sadigh:
Learning Multimodal Rewards from Rankings. CoRL 2021: 342-352 - [c65]Nils Wilde, Erdem Biyik, Dorsa Sadigh, Stephen L. Smith:
Learning Reward Functions from Scale Feedback. CoRL 2021: 353-362 - [c64]Zhangjie Cao, Yilun Hao, Mengxi Li, Dorsa Sadigh:
Learning Feasibility to Imitate Demonstrators with Different Dynamics. CoRL 2021: 363-372 - [c63]Woodrow Zhouyuan Wang, Andy Shih, Annie Xie, Dorsa Sadigh:
Influencing Towards Stable Multi-Agent Interactions. CoRL 2021: 1132-1143 - [c62]Siddharth Karamcheti, Megha Srivastava, Percy Liang, Dorsa Sadigh:
LILA: Language-Informed Latent Actions. CoRL 2021: 1379-1390 - [c61]Julia White, Gabriel Poesia, Robert X. D. Hawkins, Dorsa Sadigh, Noah D. Goodman:
Open-domain clarification question generation without question examples. EMNLP (1) 2021: 563-570 - [c60]Mark Beliaev, Erdem Biyik, Daniel A. Lazar, Woodrow Z. Wang, Dorsa Sadigh, Ramtin Pedarsani:
Incentivizing routing choices for safe and efficient transportation in the face of the COVID-19 pandemic. ICCPS 2021: 187-197 - [c59]Andy Shih, Arjun Sawhney, Jovana Kondic, Stefano Ermon, Dorsa Sadigh:
On the Critical Role of Conventions in Adaptive Human-AI Collaboration. ICLR 2021 - [c58]Minae Kwon, Siddharth Karamcheti, Mariano-Florentino Cuellar, Dorsa Sadigh:
Targeted Data Acquisition for Evolving Negotiation Agents. ICML 2021: 5894-5904 - [c57]Mengxi Li, Alper Canberk, Dylan P. Losey, Dorsa Sadigh:
Learning Human Objectives from Sequences of Physical Corrections. ICRA 2021: 2877-2883 - [c56]Kejun Li, Maegan Tucker, Erdem Biyik, Ellen R. Novoseller, Joel W. Burdick, Yanan Sui, Dorsa Sadigh, Yisong Yue, Aaron D. Ames:
ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes. ICRA 2021: 3212-3218 - [c55]Woodrow Z. Wang, Mark Beliaev, Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh:
Emergent Prosociality in Multi-Agent Games Through Gifting. IJCAI 2021: 434-442 - [c54]Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, Yaser P. Fallah:
Cooperative Autonomous Vehicles that Sympathize with Human Drivers. IROS 2021: 4517-4524 - [c53]Siddharth Karamcheti, Albert J. Zhai, Dylan P. Losey, Dorsa Sadigh:
Learning Visually Guided Latent Actions for Assistive Teleoperation. L4DC 2021: 1230-1241 - [c52]Andy Shih, Dorsa Sadigh, Stefano Ermon:
HyperSPNs: Compact and Expressive Probabilistic Circuits. NeurIPS 2021: 8571-8582 - [c51]Songyuan Zhang, Zhangjie Cao, Dorsa Sadigh, Yanan Sui:
Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality. NeurIPS 2021: 12340-12350 - [c50]Suvir Mirchandani, Siddharth Karamcheti, Dorsa Sadigh:
ELLA: Exploration through Learned Language Abstraction. NeurIPS 2021: 29529-29540 - [i65]Zhangjie Cao, Minae Kwon, Dorsa Sadigh:
Transfer Reinforcement Learning across Homotopy Classes. CoRR abs/2102.05207 (2021) - [i64]Suvir Mirchandani, Siddharth Karamcheti, Dorsa Sadigh:
ELLA: Exploration through Learned Language Abstraction. CoRR abs/2103.05825 (2021) - [i63]Zhangjie Cao, Dorsa Sadigh:
Learning from Imperfect Demonstrations from Agents with Varying Dynamics. CoRR abs/2103.05910 (2021) - [i62]Mengxi Li, Alper Canberk, Dylan P. Losey, Dorsa Sadigh:
Learning Human Objectives from Sequences of Physical Corrections. CoRR abs/2104.00078 (2021) - [i61]Andy Shih, Arjun Sawhney, Jovana Kondic, Stefano Ermon, Dorsa Sadigh:
On the Critical Role of Conventions in Adaptive Human-AI Collaboration. CoRR abs/2104.02871 (2021) - [i60]Siddharth Karamcheti, Albert J. Zhai, Dylan P. Losey, Dorsa Sadigh:
Learning Visually Guided Latent Actions for Assistive Teleoperation. CoRR abs/2105.00580 (2021) - [i59]Woodrow Z. Wang, Mark Beliaev, Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh:
Emergent Prosociality in Multi-Agent Games Through Gifting. CoRR abs/2105.06593 (2021) - [i58]Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh:
Incentivizing Efficient Equilibria in Traffic Networks with Mixed Autonomy. CoRR abs/2106.04678 (2021) - [i57]Minae Kwon, Siddharth Karamcheti, Mariano-Florentino Cuellar, Dorsa Sadigh:
Targeted Data Acquisition for Evolving Negotiation Agents. CoRR abs/2106.07728 (2021) - [i56]Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, Yaser P. Fallah:
Social Coordination and Altruism in Autonomous Driving. CoRR abs/2107.00200 (2021) - [i55]Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, Yaser P. Fallah:
Cooperative Autonomous Vehicles that Sympathize with Human Drivers. CoRR abs/2107.00898 (2021) - [i54]Dylan P. Losey, Hong Jun Jeon, Mengxi Li, Krishnan Srinivasan, Ajay Mandlekar, Animesh Garg, Jeannette Bohg, Dorsa Sadigh:
Learning Latent Actions to Control Assistive Robots. CoRR abs/2107.02907 (2021) - [i53]Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, Yaser P. Fallah:
Altruistic Maneuver Planning for Cooperative Autonomous Vehicles Using Multi-agent Advantage Actor-Critic. CoRR abs/2107.05664 (2021) - [i52]Erdem Biyik, Aditi Talati, Dorsa Sadigh:
APReL: A Library for Active Preference-based Reward Learning Algorithms. CoRR abs/2108.07259 (2021) - [i51]Vivek Myers, Erdem Biyik, Nima Anari, Dorsa Sadigh:
Learning Multimodal Rewards from Rankings. CoRR abs/2109.12750 (2021) - [i50]Nils Wilde, Erdem Biyik, Dorsa Sadigh, Stephen L. Smith:
Learning Reward Functions from Scale Feedback. CoRR abs/2110.00284 (2021) - [i49]Erdem Biyik, Anusha Lalitha, Rajarshi Saha, Andrea Goldsmith, Dorsa Sadigh:
Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams. CoRR abs/2110.00751 (2021) - [i48]Woodrow Z. Wang, Andy Shih, Annie Xie, Dorsa Sadigh:
Influencing Towards Stable Multi-Agent Interactions. CoRR abs/2110.08229 (2021) - [i47]Julia White, Gabriel Poesia, Robert X. D. Hawkins, Dorsa Sadigh, Noah D. Goodman:
Open-domain clarification question generation without question examples. CoRR abs/2110.09779 (2021) - [i46]Songyuan Zhang, Zhangjie Cao, Dorsa Sadigh, Yanan Sui:
Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality. CoRR abs/2110.14754 (2021) - [i45]Zhangjie Cao, Yilun Hao, Mengxi Li, Dorsa Sadigh:
Learning Feasibility to Imitate Demonstrators with Different Dynamics. CoRR abs/2110.15142 (2021) - [i44]Nicholas Roy, Ingmar Posner, Tim D. Barfoot, Philippe Beaudoin, Yoshua Bengio, Jeannette Bohg, Oliver Brock, Isabelle Depatie, Dieter Fox, Daniel E. Koditschek, Tomás Lozano-Pérez, Vikash Mansinghka, Christopher J. Pal, Blake A. Richards, Dorsa Sadigh, Stefan Schaal, Gaurav S. Sukhatme, Denis Thérien, Marc Toussaint, Michiel van de Panne:
From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence. CoRR abs/2110.15245 (2021) - [i43]Siddharth Karamcheti, Megha Srivastava, Percy Liang, Dorsa Sadigh:
LILA: Language-Informed Latent Actions. CoRR abs/2111.03205 (2021) - [i42]Suneel Belkhale, Ethan K. Gordon, Yuxiao Chen, Siddhartha S. Srinivasa, Tapomayukh Bhattacharjee, Dorsa Sadigh:
Balancing Efficiency and Comfort in Robot-Assisted Bite Transfer. CoRR abs/2111.11401 (2021) - [i41]Andy Shih, Dorsa Sadigh, Stefano Ermon:
HyperSPNs: Compact and Expressive Probabilistic Circuits. CoRR abs/2112.00914 (2021) - [i40]Bidipta Sarkar, Aditi Talati, Andy Shih, Dorsa Sadigh:
PantheonRL: A MARL Library for Dynamic Training Interactions. CoRR abs/2112.07013 (2021) - 2020
- [j3]Yuhang Che, Allison M. Okamura, Dorsa Sadigh:
Efficient and Trustworthy Social Navigation via Explicit and Implicit Robot-Human Communication. IEEE Trans. Robotics 36(3): 692-707 (2020) - [c49]John Mern, Dorsa Sadigh, Mykel J. Kochenderfer:
Exchangeable Input Representations for Reinforcement Learning. ACC 2020: 3971-3976 - [c48]Robert X. D. Hawkins, Minae Kwon, Dorsa Sadigh, Noah D. Goodman:
Continual Adaptation for Efficient Machine Communication. CoNLL 2020: 408-419 - [c47]Annie Xie, Dylan P. Losey, Ryan Tolsma, Chelsea Finn, Dorsa Sadigh:
Learning Latent Representations to Influence Multi-Agent Interaction. CoRL 2020: 575-588 - [c46]Minae Kwon, Erdem Biyik, Aditi Talati, Karan Bhasin, Dylan P. Losey, Dorsa Sadigh:
When Humans Aren't Optimal: Robots that Collaborate with Risk-Aware Humans. HRI 2020: 43-52 - [c45]Dylan P. Losey, Krishnan Srinivasan, Ajay Mandlekar, Animesh Garg, Dorsa Sadigh:
Controlling Assistive Robots with Learned Latent Actions. ICRA 2020: 378-384 - [c44]Zheqing Zhu, Erdem Biyik, Dorsa Sadigh:
Multi-Agent Safe Planning with Gaussian Processes. IROS 2020: 6260-6267 - [c43]Mengxi Li, Dylan P. Losey, Jeannette Bohg, Dorsa Sadigh:
Learning User-Preferred Mappings for Intuitive Robot Control. IROS 2020: 10960-10967 - [c42]Malayandi Palan, Shane T. Barratt, Alex McCauley, Dorsa Sadigh, Vikas Sindhwani, Stephen P. Boyd:
Fitting a Linear Control Policy to Demonstrations with a Kalman Constraint. L4DC 2020: 374-383 - [c41]Erdem Biyik, Nicolas Huynh, Mykel J. Kochenderfer, Dorsa Sadigh:
Active Preference-Based Gaussian Process Regression for Reward Learning. Robotics: Science and Systems 2020 - [c40]Zhangjie Cao, Erdem Biyik, Woodrow Z. Wang, Allan Raventos, Adrien Gaidon, Guy Rosman, Dorsa Sadigh:
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving. Robotics: Science and Systems 2020 - [c39]Shushman Choudhury, Jayesh K. Gupta, Mykel J. Kochenderfer, Dorsa Sadigh, Jeannette Bohg:
Dynamic Multi-Robot Task Allocation under Uncertainty and Temporal Constraints. Robotics: Science and Systems 2020 - [c38]Hong Jun Jeon, Dylan P. Losey, Dorsa Sadigh:
Shared Autonomy with Learned Latent Actions. Robotics: Science and Systems 2020 - [i39]Minae Kwon, Erdem Biyik, Aditi Talati, Karan Bhasin, Dylan P. Losey, Dorsa Sadigh:
When Humans Aren't Optimal: Robots that Collaborate with Risk-Aware Humans. CoRR abs/2001.04377 (2020) - [i38]John Mern, Dorsa Sadigh, Mykel J. Kochenderfer:
Exchangeable Input Representations for Reinforcement Learning. CoRR abs/2003.09022 (2020) - [i37]Kawin Ethayarajh, Dorsa Sadigh:
BLEU Neighbors: A Reference-less Approach to Automatic Evaluation. CoRR abs/2004.12726 (2020) - [i36]Erdem Biyik, Nicolas Huynh, Mykel J. Kochenderfer, Dorsa Sadigh:
Active Preference-Based Gaussian Process Regression for Reward Learning. CoRR abs/2005.02575 (2020) - [i35]Hong Jun Jeon, Dylan P. Losey, Dorsa Sadigh:
Shared Autonomy with Learned Latent Actions. CoRR abs/2005.03210 (2020) - [i34]Shushman Choudhury, Jayesh K. Gupta, Mykel J. Kochenderfer, Dorsa Sadigh, Jeannette Bohg:
Dynamic Multi-Robot Task Allocation under Uncertainty and Temporal Constraints. CoRR abs/2005.13109 (2020) - [i33]Erdem Biyik, Dylan P. Losey, Malayandi Palan, Nicholas C. Landolfi, Gleb Shevchuk, Dorsa Sadigh:
Learning Reward Functions from Diverse Sources of Human Feedback: Optimally Integrating Demonstrations and Preferences. CoRR abs/2006.14091 (2020) - [i32]Hadas Kress-Gazit, Kerstin Eder, Guy Hoffman, Henny Admoni, Brenna Argall, Rüdiger Ehlers, Christoffer Heckman, Nils Jansen, Ross A. Knepper, Jan Kretínský, Shelly Levy-Tzedek, Jamy Li, Todd D. Murphey, Laurel D. Riek, Dorsa Sadigh:
Formalizing and Guaranteeing* Human-Robot Interaction. CoRR abs/2006.16732 (2020) - [i31]Zhangjie Cao, Erdem Biyik, Woodrow Z. Wang, Allan Raventos, Adrien Gaidon, Guy Rosman, Dorsa Sadigh:
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving. CoRR abs/2007.00178 (2020) - [i30]Mengxi Li, Dylan P. Losey, Jeannette Bohg, Dorsa Sadigh:
Learning User-Preferred Mappings for Intuitive Robot Control. CoRR abs/2007.11627 (2020) - [i29]Zheqing Zhu, Erdem Biyik, Dorsa Sadigh:
Multi-Agent Safe Planning with Gaussian Processes. CoRR abs/2008.04452 (2020) - [i28]Siddharth Karamcheti, Dorsa Sadigh, Percy Liang:
Learning Adaptive Language Interfaces through Decomposition. CoRR abs/2010.05190 (2020) - [i27]Kejun Li, Maegan Tucker, Erdem Biyik, Ellen R. Novoseller, Joel W. Burdick, Yanan Sui, Dorsa Sadigh, Yisong Yue, Aaron D. Ames:
ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes. CoRR abs/2011.04812 (2020) - [i26]Annie Xie, Dylan P. Losey, Ryan Tolsma, Chelsea Finn, Dorsa Sadigh:
Learning Latent Representations to Influence Multi-Agent Interaction. CoRR abs/2011.06619 (2020) - [i25]Mark Beliaev, Erdem Biyik, Daniel A. Lazar, Woodrow Z. Wang, Dorsa Sadigh, Ramtin Pedarsani:
Incentivizing Routing Choices for Safe and Efficient Transportation in the Face of the COVID-19 Pandemic. CoRR abs/2012.15749 (2020)
2010 – 2019
- 2019
- [c37]Erdem Biyik, Jonathan Margoliash, Shahrouz Ryan Alimo, Dorsa Sadigh:
Efficient and Safe Exploration in Deterministic Markov Decision Processes with Unknown Transition Models. ACC 2019: 1792-1799 - [c36]John Mern, Dorsa Sadigh, Mykel J. Kochenderfer:
Object Exchangability in Reinforcement Learning. AAMAS 2019: 2126-2128 - [c35]