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COLA: Consistent Learning with Opponent-Learning Awareness
v1v2v3 (latest)

COLA: Consistent Learning with Opponent-Learning Awareness

International Conference on Machine Learning (ICML), 2022
8 March 2022
Timon Willi
Alistair Letcher
Johannes Treutlein
Jakob N. Foerster
ArXiv (abs)PDFHTMLGithub

Papers citing "COLA: Consistent Learning with Opponent-Learning Awareness"

18 / 18 papers shown
$K$-Level Policy Gradients for Multi-Agent Reinforcement Learning
KKK-Level Policy Gradients for Multi-Agent Reinforcement Learning
Aryaman Reddi
Gabriele Tiboni
Jan Peters
Carlo DÉramo
150
1
0
15 Sep 2025
The challenge of hidden gifts in multi-agent reinforcement learning
The challenge of hidden gifts in multi-agent reinforcement learning
Dane Malenfant
Blake A. Richards
480
1
0
26 May 2025
MADiff: Offline Multi-agent Learning with Diffusion Models
MADiff: Offline Multi-agent Learning with Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2023
Zhengbang Zhu
Minghuan Liu
Liyuan Mao
Bingyi Kang
Minkai Xu
Yong Yu
Stefano Ermon
Weinan Zhang
DiffMOffRL
849
78
0
03 Jan 2025
Multi-agent cooperation through learning-aware policy gradients
Multi-agent cooperation through learning-aware policy gradientsInternational Conference on Learning Representations (ICLR), 2024
Alexander Meulemans
Seijin Kobayashi
J. Oswald
Nino Scherrer
Eric Elmoznino
Blake A. Richards
Guillaume Lajoie
Blaise Agüera y Arcas
João Sacramento
280
3
0
24 Oct 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
518
4
0
14 Jul 2024
Advantage Alignment Algorithms
Advantage Alignment Algorithms
Juan Agustin Duque
Milad Aghajohari
Tim Cooijmans
Tianyu Zhang
Rameswar Panda
Gauthier Gidel
Aaron Courville
497
7
0
20 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
549
3
0
03 Jun 2024
Cooperative AI via Decentralized Commitment Devices
Cooperative AI via Decentralized Commitment Devices
Xinyuan Sun
Davide Crapis
Matt Stephenson
B. Monnot
Thomas Thiery
Jonathan Passerat-Palmbach
285
13
0
14 Nov 2023
Mediated Multi-Agent Reinforcement Learning
Mediated Multi-Agent Reinforcement LearningAdaptive Agents and Multi-Agent Systems (AAMAS), 2023
Dmitry Ivanov
Ilya Zisman
Kirill Chernyshev
271
10
0
14 Jun 2023
Should Collaborative Robots be Transparent?
Should Collaborative Robots be Transparent?
Shahabedin Sagheb
Soham Gandhi
Dylan P. Losey
345
1
0
23 Apr 2023
Off-Policy Action Anticipation in Multi-Agent Reinforcement Learning
Off-Policy Action Anticipation in Multi-Agent Reinforcement LearningJournal of machine learning research (JMLR), 2023
Ariyan Bighashdel
Daan de Geus
P. Jancura
Gijs Dubbelman
OffRLLRM
172
1
0
04 Apr 2023
Arbitrary Order Meta-Learning with Simple Population-Based Evolution
Arbitrary Order Meta-Learning with Simple Population-Based Evolution
Chris Xiaoxuan Lu
Sebastian Towers
Jakob N. Foerster
205
5
0
16 Mar 2023
Coordinating Fully-Cooperative Agents Using Hierarchical Learning
  Anticipation
Coordinating Fully-Cooperative Agents Using Hierarchical Learning Anticipation
Ariyan Bighashdel
Daan de Geus
P. Jancura
Gijs Dubbelman
214
2
0
15 Mar 2023
Similarity-based cooperative equilibrium
Similarity-based cooperative equilibriumNeural Information Processing Systems (NeurIPS), 2022
Caspar Oesterheld
Johannes Treutlein
Roger C. Grosse
Vincent Conitzer
Jakob N. Foerster
374
7
0
26 Nov 2022
Adversarial Cheap Talk
Adversarial Cheap TalkInternational Conference on Machine Learning (ICML), 2022
Chris Xiaoxuan Lu
Timon Willi
Alistair Letcher
Jakob N. Foerster
AAML
370
17
0
20 Nov 2022
Recursive Reasoning in Minimax Games: A Level $k$ Gradient Play Method
Recursive Reasoning in Minimax Games: A Level kkk Gradient Play MethodNeural Information Processing Systems (NeurIPS), 2022
Zichuan Liu
Lacra Pavel
LRM
309
4
0
29 Oct 2022
Proximal Learning With Opponent-Learning Awareness
Proximal Learning With Opponent-Learning AwarenessNeural Information Processing Systems (NeurIPS), 2022
S. Zhao
Chris Xiaoxuan Lu
Roger C. Grosse
Jakob N. Foerster
342
26
0
18 Oct 2022
Model-Free Opponent Shaping
Model-Free Opponent ShapingInternational Conference on Machine Learning (ICML), 2022
Chris Xiaoxuan Lu
Timon Willi
Christian Schroeder de Witt
Jakob N. Foerster
408
53
0
03 May 2022
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