Learning with Opponent-Learning Awareness

13 September 2017

Pieter Abbeel

Papers citing "Learning with Opponent-Learning Awareness"

50 / 307 papers shown

Title
Reinforcement Communication Learning in Different Social Network Structures M. Dubova A. Moskvichev Robert L. Goldstone GNN 22 9 0 19 Jul 2020
On the Reliability and Generalizability of Brain-inspired Reinforcement Learning Algorithms Dongjae Kim J. Lee J. Shin M. Yang Sang Wan Lee OffRL 11 2 0 09 Jul 2020
Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications Sarah Perrin Julien Perolat Mathieu Laurière M. Geist Romuald Elie Olivier Pietquin 25 119 0 05 Jul 2020
Newton-type Methods for Minimax Optimization Guojun Zhang Kaiwen Wu Pascal Poupart Yaoliang Yu 24 24 0 25 Jun 2020
NOVAS: Non-convex Optimization via Adaptive Stochastic Search for End-to-End Learning and Control Ioannis Exarchos M. Pereira Ziyi Wang Evangelos A. Theodorou 19 4 0 22 Jun 2020
Competitive Policy Optimization Manish Prajapat Kamyar Azizzadenesheli Alexander Liniger Yisong Yue Anima Anandkumar 18 14 0 18 Jun 2020
Learning to Incentivize Other Learning Agents Jiachen Yang Ang Li Mehrdad Farajtabar P. Sunehag Edward Hughes H. Zha 18 67 0 10 Jun 2020
Learning to Play No-Press Diplomacy with Best Response Policy Iteration Thomas W. Anthony Tom Eccles Andrea Tacchetti János Kramár I. Gemp ... Richard Everett Roman Werpachowski Satinder Singh T. Graepel Yoram Bachrach 19 42 0 08 Jun 2020
Learning to Model Opponent Learning Ian Davies Zheng Tian Jun Wang 14 2 0 06 Jun 2020
AI Research Considerations for Human Existential Safety (ARCHES) Andrew Critch David M. Krueger 30 50 0 30 May 2020
On the Impossibility of Global Convergence in Multi-Loss Optimization Alistair Letcher 24 32 0 26 May 2020
Non-cooperative Multi-agent Systems with Exploring Agents Jalal Etesami C. Straehle 25 4 0 25 May 2020
Optimizing for the Future in Non-Stationary MDPs Yash Chandak Georgios Theocharous Shiv Shankar Martha White Sridhar Mahadevan Philip S. Thomas OffRL 16 65 0 17 May 2020
The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies Stephan Zheng Alexander R. Trott Sunil Srinivasa Nikhil Naik Melvin Gruesbeck David C. Parkes R. Socher 31 131 0 28 Apr 2020
A Game Theoretic Framework for Model Based Reinforcement Learning Aravind Rajeswaran Igor Mordatch Vikash Kumar OffRL 14 126 0 16 Apr 2020
Should I tear down this wall? Optimizing social metrics by evaluating novel actions János Kramár Neil C. Rabinowitz Tom Eccles Andrea Tacchetti 11 5 0 16 Apr 2020
Real-World Human-Robot Collaborative Reinforcement Learning A. Shafti Jonas Tjomsland William Dudley Aldo A. Faisal 43 17 0 02 Mar 2020
Learning to Resolve Alliance Dilemmas in Many-Player Zero-Sum Games Edward Hughes Thomas W. Anthony Tom Eccles Joel Z Leibo David Balduzzi Yoram Bachrach 11 20 0 27 Feb 2020
From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization Julien Perolat Rémi Munos Jean-Baptiste Lespiau Shayegan Omidshafiei Mark Rowland ... David Balduzzi Bart De Vylder Georgios Piliouras Marc Lanctot K. Tuyls 12 84 0 19 Feb 2020
Intrinsic Motivation for Encouraging Synergistic Behavior Rohan Chitnis Shubham Tulsiani Saurabh Gupta Abhinav Gupta 6 27 0 12 Feb 2020
Silly rules improve the capacity of agents to learn stable enforcement and compliance behaviors Raphael Köster Dylan Hadfield-Menell Gillian K. Hadfield Joel Z Leibo 6 10 0 25 Jan 2020
Emergence of Pragmatics from Referential Game between Theory of Mind Agents Luyao Yuan Zipeng Fu Jingyue Shen Lu Xu Junhong Shen Song-Chun Zhu LLMAG 14 16 0 21 Jan 2020
Algorithms in Multi-Agent Systems: A Holistic Perspective from Reinforcement Learning and Game Theory Yunlong Lu Kai Yan AI4CE 10 13 0 17 Jan 2020
Inducing Cooperative behaviour in Sequential-Social dilemmas through Multi-Agent Reinforcement Learning using Status-Quo Loss Pinkesh Badjatiya Mausoom Sarkar Abhishek Sinha Siddharth Singh Nikaash Puri Jayakumar Subramanian Balaji Krishnamurthy 11 2 0 15 Jan 2020
BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent Communication) Marek Rosa O. Afanasjeva Simon Andersson Joseph Davidson N. Guttenberg Petr Hlubucek Martin Poliak Jaroslav Vítků Jan Feyereisl 22 10 0 03 Dec 2019
Interactive AI with a Theory of Mind M. Çelikok Tomi Peltola Pedram Daee Samuel Kaski 25 19 0 01 Dec 2019
Multi-Agent Deep Reinforcement Learning with Adaptive Policies Yixiang Wang Feng Wu 29 2 0 28 Nov 2019
Agent Probing Interaction Policies Siddharth Ghiya Oluwafemi Azeez Brendan Miller 16 0 0 21 Nov 2019
SMIX( $λ$ ): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning Xinghu Yao Chao Wen Yuhui Wang Xiaoyang Tan 38 45 0 11 Nov 2019
Optimizing Millions of Hyperparameters by Implicit Differentiation Jonathan Lorraine Paul Vicol David Duvenaud DD 27 402 0 06 Nov 2019
MAPEL: Multi-Agent Pursuer-Evader Learning using Situation Report Sagar Verma Richa Verma P. B. Sujit 18 1 0 17 Oct 2019
Visual Hide and Seek Boyuan Chen Shuran Song Hod Lipson Carl Vondrick 25 22 0 15 Oct 2019
Implicit competitive regularization in GANs Florian Schäfer Hongkai Zheng Anima Anandkumar GAN 8 35 0 13 Oct 2019
Towards Deployment of Robust AI Agents for Human-Machine Partnerships Ahana Ghosh Sebastian Tschiatschek Hamed Mahdavi Adish Singla 32 9 0 05 Oct 2019
The Differentiable Cross-Entropy Method Brandon Amos Denis Yarats 29 54 0 27 Sep 2019
Active inference: demystified and compared Noor Sajid Philip J. Ball Thomas Parr Karl J. Friston OffRL 16 3 0 24 Sep 2019
Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Estimators for Reinforcement Learning Gregory Farquhar Shimon Whiteson Jakob N. Foerster 8 18 0 23 Sep 2019
Robots that Take Advantage of Human Trust Dylan P. Losey Dorsa Sadigh 13 17 0 12 Sep 2019
On Memory Mechanism in Multi-Agent Reinforcement Learning Yilun Zhou Derrik E. Asher Nicholas R. Waytowich J. Shah 25 2 0 11 Sep 2019
Partner Approximating Learners (PAL): Simulation-Accelerated Learning with Explicit Partner Modeling in Multi-Agent Domains Florian Köpf A. Nitsch M. Flad Sören Hohmann 16 2 0 09 Sep 2019
No Press Diplomacy: Modeling Multi-Agent Gameplay Philip Paquette Yuchen Lu Steven Bocco Max O. Smith Satya Ortiz-Gagné Jonathan K. Kummerfeld Satinder Singh Joelle Pineau Aaron Courville 33 57 0 04 Sep 2019
Opponent Aware Reinforcement Learning Víctor Gallego Roi Naveiro D. Insua D. Gómez‐Ullate 14 7 0 22 Aug 2019
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems Weixun Wang Tianpei Yang Yong Liu Jianye Hao Xiaotian Hao Yujing Hu Yingfeng Chen Changjie Fan Yang Gao 20 35 0 26 Jul 2019
Multiple Landmark Detection using Multi-Agent Reinforcement Learning Athanasios Vlontzos A. Alansary Konstantinos Kamnitsas Daniel Rueckert Bernhard Kainz 16 55 0 30 Jun 2019
Foolproof Cooperative Learning Alexis Jacq Julien Perolat M. Geist Olivier Pietquin FedML 11 9 0 24 Jun 2019
Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination Shauharda Khadka Somdeb Majumdar Santiago Miret Stephen McAleer Kagan Tumer 22 60 0 18 Jun 2019
Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning Georgios Papoudakis Filippos Christianos Arrasy Rahman Stefano V. Albrecht 32 187 0 11 Jun 2019
Escaping the State of Nature: A Hobbesian Approach to Cooperation in Multi-agent Reinforcement Learning William Long 17 0 0 05 Jun 2019
Convergence of Learning Dynamics in Stackelberg Games Tanner Fiez Benjamin J. Chasnov Lillian J. Ratliff 16 92 0 04 Jun 2019
Neural Replicator Dynamics Daniel Hennes Dustin Morrill Shayegan Omidshafiei Rémi Munos Julien Perolat ... A. Gruslys Jean-Baptiste Lespiau Paavo Parmas Edgar A. Duénez-Guzmán K. Tuyls 16 16 0 01 Jun 2019