Influencing Towards Stable Multi-Agent Interactions

5 October 2021

Dorsa Sadigh

Papers citing "Influencing Towards Stable Multi-Agent Interactions"

30 / 30 papers shown

Title
Improving Human-AI Coordination through Adversarial Training and Generative Models Paresh Chaudhary Yancheng Liang Daphne Chen S. Du Natasha Jaques 91 1 0 21 Apr 2025
AnyBimanual: Transferring Unimanual Policy for General Bimanual Manipulation Guanxing Lu Tengbo Yu Haoyuan Deng Season Si Chen Yansong Tang Ziwei Wang 104 3 0 09 Dec 2024
Emergent Prosociality in Multi-Agent Games Through Gifting Woodrow Z. Wang M. Beliaev Erdem Biyik Daniel A. Lazar Ramtin Pedarsani Dorsa Sadigh AI4CE 45 25 0 13 May 2021
On the Critical Role of Conventions in Adaptive Human-AI Collaboration Andy Shih Arjun Sawhney J. Kondic Stefano Ermon Dorsa Sadigh 67 37 0 07 Apr 2021
Learning Latent Representations to Influence Multi-Agent Interaction Annie Xie Dylan P. Losey R. Tolsma Chelsea Finn Dorsa Sadigh DRL 95 132 0 12 Nov 2020
Multi-Agent Safe Planning with Gaussian Processes Zheqing Zhu Erdem Biyik Dorsa Sadigh 20 19 0 10 Aug 2020
Learning to Incentivize Other Learning Agents Jiachen Yang Ang Li Mehrdad Farajtabar P. Sunehag Edward Hughes H. Zha 47 67 0 10 Jun 2020
Learning from My Partner's Actions: Roles in Decentralized Robot Teams Dylan P. Losey Mengxi Li Jeannette Bohg Dorsa Sadigh 36 24 0 16 Oct 2019
On the Utility of Learning about Humans for Human-AI Coordination Micah Carroll Rohin Shah Mark K. Ho Thomas Griffiths Sanjit A. Seshia Pieter Abbeel Anca Dragan HAI 51 387 0 13 Oct 2019
Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning Shariq Iqbal Fei Sha 23 49 0 28 May 2019
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables Kate Rakelly Aurick Zhou Deirdre Quillen Chelsea Finn Sergey Levine OffRL 66 652 0 19 Mar 2019
Scaling simulation-to-real transfer by learning composable robot skills Ryan Julian Eric Heiden Zhanpeng He Hejia Zhang S. Schaal Joseph J. Lim Gaurav Sukhatme Karol Hausman 27 15 0 26 Sep 2018
Learning Policy Representations in Multiagent Systems Aditya Grover Maruan Al-Shedivat Jayesh K. Gupta Yuri Burda Harrison Edwards AI4CE 48 122 0 17 Jun 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 194 8,236 0 04 Jan 2018
Learning with Opponent-Learning Awareness Jakob N. Foerster Richard Y. Chen Maruan Al-Shedivat Shimon Whiteson Pieter Abbeel Igor Mordatch 71 536 0 13 Sep 2017
A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity Pablo Hernandez-Leal Michael Kaisers T. Baarslag Enrique Munoz de Cote 57 272 0 28 Jul 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments Ryan J. Lowe Yi Wu Aviv Tamar J. Harb Pieter Abbeel Igor Mordatch 113 4,441 0 07 Jun 2017
Counterfactual Multi-Agent Policy Gradients Jakob N. Foerster Gregory Farquhar Triantafyllos Afouras Nantas Nardelli Shimon Whiteson 49 2,053 0 24 May 2017
Curiosity-driven Exploration by Self-supervised Prediction Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell LRM SSL 93 2,416 0 15 May 2017
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning Jakob N. Foerster Nantas Nardelli Gregory Farquhar Triantafyllos Afouras Philip Torr Pushmeet Kohli Shimon Whiteson OffRL 175 596 0 28 Feb 2017
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 212 5,323 0 03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 104 2,518 0 02 Nov 2016
Opponent Modeling in Deep Reinforcement Learning He He Jordan L. Boyd-Graber Kevin Kwok Hal Daumé III BDL 53 324 0 18 Sep 2016
Unifying Count-Based Exploration and Intrinsic Motivation Marc G. Bellemare S. Srinivasan Georg Ostrovski Tom Schaul D. Saxton Rémi Munos 156 1,465 0 06 Jun 2016
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 166 5,048 0 05 Jun 2016
Learning to Communicate with Deep Multi-Agent Reinforcement Learning Jakob N. Foerster Yannis Assael Nando de Freitas Shimon Whiteson 120 1,600 0 21 May 2016
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images Manuel Watter Jost Tobias Springenberg Joschka Boedecker Martin Riedmiller BDL 44 839 0 24 Jun 2015
A* Sampling Chris J. Maddison Daniel Tarlow T. Minka 59 390 0 31 Oct 2014
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 89 12,163 0 19 Dec 2013
Hidden Parameter Markov Decision Processes: A Semiparametric Regression Approach for Discovering Latent Task Parametrizations Finale Doshi-Velez George Konidaris 119 129 0 15 Aug 2013