Learning with Opponent-Learning Awareness

13 September 2017

Pieter Abbeel

Papers citing "Learning with Opponent-Learning Awareness"

50 / 307 papers shown

Title
Multi-Turn Beam Search for Neural Dialogue Modeling Ilia Kulikov Jason D. Lee Kyunghyun Cho 28 3 0 01 Jun 2019
Extragradient with player sampling for faster Nash equilibrium finding Carles Domingo Enrich Samy Jelassi Carles Domingo-Enrich Damien Scieur A. Mensch Joan Bruna 8 1 0 29 May 2019
Strategic Prediction with Latent Aggregative Games Vikas K. Garg Tommi Jaakkola 19 0 0 29 May 2019
Competitive Gradient Descent Florian Schäfer Anima Anandkumar 24 102 0 28 May 2019
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence Yuhang Song Andrzej Wojcicki Thomas Lukasiewicz Jianyi Wang Abi Aryan Zhenghua Xu Mai Xu Zihan Ding Lianlong Wu AI4CE ELM 27 33 0 17 May 2019
Differentiable Game Mechanics Alistair Letcher David Balduzzi S. Racanière James Martens Jakob N. Foerster K. Tuyls T. Graepel 37 79 0 13 May 2019
Actor-Critic Algorithms for Constrained Multi-agent Reinforcement Learning Raghuram Bharadwaj Diddigi Sai Koti Reddy Danda Prabuchandran K.J. S. Bhatnagar 21 18 0 08 May 2019
Partner Selection for the Emergence of Cooperation in Multi-Agent Systems Using Reinforcement Learning Nicolas Anastassacos Stephen Hailes Mirco Musolesi 11 44 0 08 Feb 2019
Neural Fictitious Self-Play on ELF Mini-RTS Keigo Kawamura Yoshimasa Tsuruoka 34 7 0 06 Feb 2019
Learning to Schedule Communication in Multi-agent Reinforcement Learning Daewoo Kim Sang-chul Moon D. Hostallero Wan Ju Kang Taeyoung Lee Kyunghwan Son Yung Yi 37 205 0 05 Feb 2019
The Hanabi Challenge: A New Frontier for AI Research Nolan Bard Jakob N. Foerster A. Chandar Neil Burch Marc Lanctot ... Iain Dunning Shibl Mourad Hugo Larochelle Marc G. Bellemare Michael Bowling LLMAG 13 351 0 01 Feb 2019
How Shall I Drive? Interaction Modeling and Motion Planning towards Empathetic and Socially-Graceful Driving Yi Ren Steven Elliott Yiwei Wang Yezhou Yang Wenlong Zhang 22 12 0 28 Jan 2019
Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning Ying Wen Yaodong Yang Rui Luo Jun Wang Wei Pan LRM 39 148 0 26 Jan 2019
Distributed Policy Iteration for Scalable Approximation of Cooperative Multi-Agent Policies Thomy Phan Kyrill Schmid Lenz Belzner Thomas Gabor Sebastian Feld Claudia Linnhoff-Popien 30 5 0 25 Jan 2019
Learning to Collaborate in Markov Decision Processes Goran Radanović R. Devidze David C. Parkes Adish Singla 32 33 0 23 Jan 2019
Theory of Minds: Understanding Behavior in Groups Through Inverse Planning Michael Shum Max Kleiman-Weiner Michael L. Littman J. Tenenbaum AI4CE 22 80 0 18 Jan 2019
On Finding Local Nash Equilibria (and Only Local Nash Equilibria) in Zero-Sum Games Eric V. Mazumdar Michael I. Jordan S. Shankar Sastry 40 121 0 03 Jan 2019
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications Thanh Thi Nguyen Ngoc Duy Nguyen S. Nahavandi 27 774 0 31 Dec 2018
An Introduction to Deep Reinforcement Learning Vincent François-Lavet Peter Henderson Riashat Islam Marc G. Bellemare Joelle Pineau OffRL AI4CE 82 1,234 0 30 Nov 2018
Stable Opponent Shaping in Differentiable Games Alistair Letcher Jakob N. Foerster David Balduzzi Tim Rocktaschel Shimon Whiteson 26 110 0 20 Nov 2018
Evolving intrinsic motivations for altruistic behavior Jane X. Wang Edward Hughes Chrisantha Fernando Wojciech M. Czarnecki Edgar A. Duénez-Guzmán Joel Z Leibo 21 76 0 14 Nov 2018
Modelling the Dynamic Joint Policy of Teammates with Attention Multi-agent DDPG Hangyu Mao Zhengchao Zhang Zhen Xiao Zhibo Gong 25 85 0 13 Nov 2018
Actor-Critic Policy Optimization in Partially Observable Multiagent Environments S. Srinivasan Marc Lanctot V. Zambaldi Julien Perolat K. Tuyls Rémi Munos Michael Bowling 8 148 0 21 Oct 2018
Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning Natasha Jaques Angeliki Lazaridou Edward Hughes Çağlar Gülçehre Pedro A. Ortega D. Strouse Joel Z Leibo Nando de Freitas 31 57 0 19 Oct 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 28 144 0 15 Oct 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 43 550 0 12 Oct 2018
Interactive Agent Modeling by Learning to Probe Tianmin Shu Caiming Xiong Ying Nian Wu Song-Chun Zhu LM&Ro 16 2 0 01 Oct 2018
Relational Forward Models for Multi-Agent Learning Andrea Tacchetti H. F. Song P. Mediano V. Zambaldi Neil C. Rabinowitz T. Graepel M. Botvinick Peter W. Battaglia AI4CE 19 77 0 28 Sep 2018
Learning through Probing: a decentralized reinforcement learning architecture for social dilemmas Nicolas Anastassacos Mirco Musolesi 24 3 0 26 Sep 2018
Coordination-driven learning in multi-agent problem spaces Sean L. Barton Nicholas R. Waytowich Derrik E. Asher 11 4 0 13 Sep 2018
Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games using Baselines Martin Schmid Neil Burch Marc Lanctot Matej Moravcík Rudolf Kadlec Michael Bowling 29 64 0 09 Sep 2018
Learning to Share and Hide Intentions using Information Regularization D. Strouse Max Kleiman-Weiner J. Tenenbaum M. Botvinick D. Schwab 14 60 0 06 Aug 2018
Backplay: "Man muss immer umkehren" Cinjon Resnick R. Raileanu Sanyam Kapoor Alex Peysakhovich Kyunghyun Cho Joan Bruna OffRL 28 45 0 18 Jul 2018
Human-level performance in first-person multiplayer games with population-based deep reinforcement learning Max Jaderberg Wojciech M. Czarnecki Iain Dunning Luke Marris Guy Lever ... Joel Z Leibo David Silver Demis Hassabis Koray Kavukcuoglu T. Graepel OffRL 40 715 0 03 Jul 2018
Amanuensis: The Programmer's Apprentice Thomas Dean Maurice Chiang Marcus Gomez Nate Gruver Yousef Hindy ... S. Sanchez Rohun Saxena Michael Smith Lucy Wang Catherine Wong 29 3 0 29 Jun 2018
Learning Existing Social Conventions via Observationally Augmented Self-Play Adam Lerer A. Peysakhovich OffRL 21 2 0 26 Jun 2018
Adaptive Mechanism Design: Learning to Promote Cooperation T. Baumann T. Graepel John Shawe-Taylor 16 26 0 11 Jun 2018
Learning to Teach in Cooperative Multiagent Reinforcement Learning Shayegan Omidshafiei Dong-Ki Kim Miao Liu Gerald Tesauro Matthew D Riemer Chris Amato Murray Campbell Jonathan P. How 15 135 0 20 May 2018
The Sharer's Dilemma in Collective Adaptive Systems of Self-Interested Agents Lenz Belzner Kyrill Schmid Thomy Phan Thomas Gabor M. Wirsing 19 4 0 28 Apr 2018
On Gradient-Based Learning in Continuous Games Eric Mazumdar Lillian J. Ratliff S. Shankar Sastry 19 134 0 16 Apr 2018
Emergent Communication through Negotiation Kris Cao Angeliki Lazaridou Marc Lanctot Joel Z Leibo K. Tuyls S. Clark 19 154 0 11 Apr 2018
What deep learning can tell us about higher cognitive functions like mindreading? Jaan Aru Raul Vicente AIMat 27 3 0 28 Mar 2018
Entropy based Independent Learning in Anonymous Multi-Agent Settings Tanvi Verma Pradeep Varakantham H. Lau 16 7 0 27 Mar 2018
Inequity aversion improves cooperation in intertemporal social dilemmas Edward Hughes Joel Z Leibo Matthew Phillips K. Tuyls Edgar A. Duénez-Guzmán ... Tina Zhu Kevin R. McKee Raphael Köster H. Roff T. Graepel 30 204 0 23 Mar 2018
SA-IGA: A Multiagent Reinforcement Learning Method Towards Socially Optimal Outcomes Chengwei Zhang Xiaohong Li Jianye Hao Siqi Chen K. Tuyls Wanli Xue 15 19 0 08 Mar 2018
Modeling Others using Oneself in Multi-Agent Reinforcement Learning Roberta Raileanu Emily L. Denton Arthur Szlam Rob Fergus 22 200 0 26 Feb 2018
The Mechanics of n-Player Differentiable Games David Balduzzi S. Racanière James Martens Jakob N. Foerster K. Tuyls T. Graepel MLT 21 274 0 15 Feb 2018
Mean Field Multi-Agent Reinforcement Learning Yaodong Yang Rui Luo Minne Li M. Zhou Weinan Zhang Jun Wang AI4CE 17 567 0 15 Feb 2018
DiCE: The Infinitely Differentiable Monte-Carlo Estimator Jakob N. Foerster Gregory Farquhar Maruan Al-Shedivat Tim Rocktaschel Eric Xing Shimon Whiteson 11 98 0 14 Feb 2018
Answerer in Questioner's Mind: Information Theoretic Approach to Goal-Oriented Visual Dialog Sang-Woo Lee Y. Heo Byoung-Tak Zhang 30 31 0 12 Feb 2018