Stable Opponent Shaping in Differentiable Games

20 November 2018

Papers citing "Stable Opponent Shaping in Differentiable Games"

24 / 24 papers shown

Title
Solving Infinite-Player Games with Player-to-Strategy Networks Carlos Martin T. Sandholm 54 0 0 17 Jan 2025
Multi-agent cooperation through learning-aware policy gradients Alexander Meulemans Seijin Kobayashi J. Oswald Nino Scherrer Eric Elmoznino Blake A. Richards Guillaume Lajoie Blaise Agüera y Arcas João Sacramento 43 0 0 24 Oct 2024
Learning to Balance Altruism and Self-interest Based on Empathy in Mixed-Motive Games Fanqi Kong Yizhe Huang Song-Chun Zhu Siyuan Qi Xue Feng 26 2 0 10 Oct 2024
Advantage Alignment Algorithms Juan Agustin Duque Milad Aghajohari Tim Cooijmans Tianyu Zhang Aaron C. Courville Gauthier Gidel Aaron Courville 23 0 0 20 Jun 2024
MEDIATE: Mutually Endorsed Distributed Incentive Acknowledgment Token Exchange Philipp Altmann Katharina Winter Michael Kolle Maximilian Zorn Thomy Phan Claudia Linnhoff-Popien 36 0 0 04 Apr 2024
Aligning Individual and Collective Objectives in Multi-Agent Cooperation Yang Li Wenhao Zhang Jianhong Wang Shao Zhang Yali Du Ying Wen Wei Pan 26 1 0 19 Feb 2024
(Ir)rationality in AI: State of the Art, Research Challenges and Open Questions Olivia Macmillan-Scott Mirco Musolesi 34 1 0 28 Nov 2023
Meta-Value Learning: a General Framework for Learning with Learning Awareness Tim Cooijmans Milad Aghajohari Aaron C. Courville 19 6 0 17 Jul 2023
Coordinating Fully-Cooperative Agents Using Hierarchical Learning Anticipation Ariyan Bighashdel Daan de Geus P. Jancura Gijs Dubbelman 19 1 0 15 Mar 2023
IQ-Flow: Mechanism Design for Inducing Cooperative Behavior to Self-Interested Agents in Sequential Social Dilemmas Bengisu Guresti Abdullah Vanlioglu N. K. Üre 13 5 0 28 Feb 2023
Adversarial Cheap Talk Chris Xiaoxuan Lu Timon Willi Alistair Letcher Jakob N. Foerster AAML 16 17 0 20 Nov 2022
Proximal Learning With Opponent-Learning Awareness S. Zhao Chris Xiaoxuan Lu Roger C. Grosse Jakob N. Foerster 26 21 0 18 Oct 2022
Adaptive Incentive Design with Multi-Agent Meta-Gradient Reinforcement Learning Jiachen Yang Ethan Wang Rakshit S. Trivedi T. Zhao H. Zha 22 21 0 20 Dec 2021
Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms Liyuan Zheng Tanner Fiez Zane Alumbaugh Benjamin J. Chasnov Lillian J. Ratliff OffRL 32 38 0 25 Sep 2021
ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation Chuangchuang Sun Dong-Ki Kim Jonathan P. How AAML 31 18 0 14 Sep 2021
A Game-Theoretic Approach to Multi-Agent Trust Region Optimization Ying Wen Hui Chen Yaodong Yang Zheng Tian Minne Li Xu Chen Jun Wang 36 11 0 12 Jun 2021
Open Problems in Cooperative AI Allan Dafoe Edward Hughes Yoram Bachrach Tantum Collins Kevin R. McKee Joel Z. Leibo Kate Larson T. Graepel 24 199 0 15 Dec 2020
Learning in two-player games between transparent opponents A. Hutter 18 5 0 04 Dec 2020
EigenGame: PCA as a Nash Equilibrium I. Gemp Brian McWilliams Claire Vernade T. Graepel 13 46 0 01 Oct 2020
Higher-order methods for convex-concave min-max optimization and monotone variational inequalities Brian Bullins Kevin A. Lai 19 36 0 09 Jul 2020
On the Impossibility of Global Convergence in Multi-Loss Optimization Alistair Letcher 13 32 0 26 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 23 131 0 28 Apr 2020
Differentiable Game Mechanics Alistair Letcher David Balduzzi S. Racanière James Martens Jakob N. Foerster K. Tuyls T. Graepel 29 79 0 13 May 2019
First-order Methods Almost Always Avoid Saddle Points J. Lee Ioannis Panageas Georgios Piliouras Max Simchowitz Michael I. Jordan Benjamin Recht ODL 90 82 0 20 Oct 2017