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Proximal Learning With Opponent-Learning Awareness

Proximal Learning With Opponent-Learning Awareness

18 October 2022
S. Zhao
Chris Xiaoxuan Lu
Roger C. Grosse
Jakob N. Foerster
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Papers citing "Proximal Learning With Opponent-Learning Awareness"

15 / 15 papers shown
Title
MADiff: Offline Multi-agent Learning with Diffusion Models
MADiff: Offline Multi-agent Learning with Diffusion Models
Zhengbang Zhu
Minghuan Liu
Liyuan Mao
Bingyi Kang
Minkai Xu
Yong Yu
Stefano Ermon
Weinan Zhang
DiffM
OffRL
73
31
0
03 Jan 2025
Multi-agent cooperation through learning-aware policy gradients
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
39
0
0
24 Oct 2024
Managing multiple agents by automatically adjusting incentives
Managing multiple agents by automatically adjusting incentives
Shunichi Akatsuka
Yaemi Teramoto
Aaron C. Courville
13
0
0
03 Sep 2024
Principal-Agent Reinforcement Learning
Principal-Agent Reinforcement Learning
Dima Ivanov
Paul Dutting
Inbal Talgam-Cohen
Tonghan Wang
David C. Parkes
21
3
0
25 Jul 2024
Learning to Steer Markovian Agents under Model Uncertainty
Learning to Steer Markovian Agents under Model Uncertainty
Jiawei Huang
Vinzenz Thoma
Zebang Shen
H. Nax
Niao He
29
2
0
14 Jul 2024
Advantage Alignment Algorithms
Advantage Alignment Algorithms
Juan Agustin Duque
Milad Aghajohari
Tim Cooijmans
Tianyu Zhang
Aaron C. Courville
Gauthier Gidel
Aaron Courville
18
0
0
20 Jun 2024
Efficient Adaptation in Mixed-Motive Environments via Hierarchical
  Opponent Modeling and Planning
Efficient Adaptation in Mixed-Motive Environments via Hierarchical Opponent Modeling and Planning
Yizhe Huang
Anji Liu
Fanqi Kong
Yaodong Yang
Song-Chun Zhu
Xue Feng
16
3
0
12 Jun 2024
Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents
Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents
John L. Zhou
Weizhe Hong
Jonathan C. Kao
23
0
0
03 Jun 2024
Multi-Agent, Human-Agent and Beyond: A Survey on Cooperation in Social
  Dilemmas
Multi-Agent, Human-Agent and Beyond: A Survey on Cooperation in Social Dilemmas
Hao Guo
Chunjiang Mu
Yang Chen
Chen Shen
Shuyue Hu
Zhen Wang
42
5
0
27 Feb 2024
Analysing the Sample Complexity of Opponent Shaping
Analysing the Sample Complexity of Opponent Shaping
Kitty Fung
Qizhen Zhang
Chris Xiaoxuan Lu
Jia Wan
Timon Willi
Jakob N. Foerster
16
0
0
08 Feb 2024
Scaling Opponent Shaping to High Dimensional Games
Scaling Opponent Shaping to High Dimensional Games
Akbir Khan
Timon Willi
Newton Kwan
Andrea Tacchetti
Chris Xiaoxuan Lu
Edward Grefenstette
Tim Rocktaschel
Jakob N. Foerster
17
10
0
19 Dec 2023
Leading the Pack: N-player Opponent Shaping
Leading the Pack: N-player Opponent Shaping
Alexandra Souly
Timon Willi
Akbir Khan
Robert Kirk
Chris Xiaoxuan Lu
Edward Grefenstette
Tim Rocktaschel
33
3
0
19 Dec 2023
JaxMARL: Multi-Agent RL Environments in JAX
JaxMARL: Multi-Agent RL Environments in JAX
Alex Rutherford
Benjamin Ellis
Matteo Gallici
Jonathan Cook
Andrei Lupu
...
Bruno Lacerda
Nick Hawes
Tim Rocktaschel
Chris Xiaoxuan Lu
Jakob N. Foerster
23
20
0
16 Nov 2023
Meta-Value Learning: a General Framework for Learning with Learning
  Awareness
Meta-Value Learning: a General Framework for Learning with Learning Awareness
Tim Cooijmans
Milad Aghajohari
Aaron C. Courville
8
6
0
17 Jul 2023
Mediated Multi-Agent Reinforcement Learning
Mediated Multi-Agent Reinforcement Learning
Dmitry Ivanov
Ilya Zisman
Kirill Chernyshev
11
8
0
14 Jun 2023
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