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Learning with Opponent-Learning Awareness

Learning with Opponent-Learning Awareness

13 September 2017
Jakob N. Foerster
Richard Y. Chen
Maruan Al-Shedivat
Shimon Whiteson
Pieter Abbeel
Igor Mordatch
ArXivPDFHTML

Papers citing "Learning with Opponent-Learning Awareness"

50 / 307 papers shown
Title
(Ir)rationality in AI: State of the Art, Research Challenges and Open Questions
(Ir)rationality in AI: State of the Art, Research Challenges and Open Questions
Olivia Macmillan-Scott
Mirco Musolesi
40
1
0
28 Nov 2023
Reward Shaping for Improved Learning in Real-time Strategy Game Play
Reward Shaping for Improved Learning in Real-time Strategy Game Play
John Kliem
Prithviraj Dasgupta
OffRL
19
1
0
27 Nov 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
36
20
0
16 Nov 2023
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
35
11
0
14 Nov 2023
Collaborative Adaptation: Learning to Recover from Unforeseen
  Malfunctions in Multi-Robot Teams
Collaborative Adaptation: Learning to Recover from Unforeseen Malfunctions in Multi-Robot Teams
Yasin Findik
Paul Robinette
Kshitij Jerath
S. Ahmadzadeh
34
2
0
19 Oct 2023
Fact-based Agent modeling for Multi-Agent Reinforcement Learning
Fact-based Agent modeling for Multi-Agent Reinforcement Learning
Baofu Fang
Caiming Zheng
Hao Wang
OffRL
16
0
0
18 Oct 2023
Learning in Cooperative Multiagent Systems Using Cognitive and Machine
  Models
Learning in Cooperative Multiagent Systems Using Cognitive and Machine Models
Thuy Ngoc Nguyen
D. Phan
Cleotilde Gonzalez
11
7
0
18 Aug 2023
AI4GCC -- Track 3: Consumption and the Challenges of Multi-Agent RL
AI4GCC -- Track 3: Consumption and the Challenges of Multi-Agent RL
Marco Jiralerspong
Gauthier Gidel
14
0
0
09 Aug 2023
Towards More Human-like AI Communication: A Review of Emergent
  Communication Research
Towards More Human-like AI Communication: A Review of Emergent Communication Research
Nicolo’ Brandizzi
47
12
0
01 Aug 2023
PIMbot: Policy and Incentive Manipulation for Multi-Robot Reinforcement
  Learning in Social Dilemmas
PIMbot: Policy and Incentive Manipulation for Multi-Robot Reinforcement Learning in Social Dilemmas
Shahab Nikkhoo
Zexin Li
Aritra Samanta
Yufei Li
Cong Liu
38
6
0
29 Jul 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
Rameswar Panda
27
6
0
17 Jul 2023
RL$^3$: Boosting Meta Reinforcement Learning via RL inside RL$^2$
RL3^33: Boosting Meta Reinforcement Learning via RL inside RL2^22
Abhinav Bhatia
Samer B. Nashed
S. Zilberstein
OffRL
25
0
0
28 Jun 2023
Mediated Multi-Agent Reinforcement Learning
Mediated Multi-Agent Reinforcement Learning
Dmitry Ivanov
Ilya Zisman
Kirill Chernyshev
30
8
0
14 Jun 2023
EMOTE: An Explainable architecture for Modelling the Other Through
  Empathy
EMOTE: An Explainable architecture for Modelling the Other Through Empathy
M. Senadeera
Thommen Karimpanal George
Sunil R. Gupta
Stephan Jacobs
Santu Rana
14
1
0
01 Jun 2023
Co-Learning Empirical Games and World Models
Co-Learning Empirical Games and World Models
Max O. Smith
Michael P. Wellman
16
2
0
23 May 2023
Know your Enemy: Investigating Monte-Carlo Tree Search with Opponent
  Models in Pommerman
Know your Enemy: Investigating Monte-Carlo Tree Search with Opponent Models in Pommerman
Jannis Weil
Johannes Czech
Tobias Meuser
Kristian Kersting
13
2
0
22 May 2023
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary
  Prospects, and Challenges
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges
Ziyuan Zhou
Guanjun Liu
Ying-Si Tang
33
14
0
17 May 2023
Latent Interactive A2C for Improved RL in Open Many-Agent Systems
Latent Interactive A2C for Improved RL in Open Many-Agent Systems
Keyang He
Prashant Doshi
Bikramjit Banerjee
OffRL
28
3
0
09 May 2023
Information Design in Multi-Agent Reinforcement Learning
Information Design in Multi-Agent Reinforcement Learning
Yue Lin
Wenhao Li
H. Zha
Baoxiang Wang
29
10
0
08 May 2023
Stackelberg Games for Learning Emergent Behaviors During Competitive
  Autocurricula
Stackelberg Games for Learning Emergent Behaviors During Competitive Autocurricula
Boling Yang
Liyuan Zheng
Lillian J. Ratliff
Byron Boots
Joshua R. Smith
33
3
0
04 May 2023
Decentralized Inference via Capability Type Structures in Cooperative
  Multi-Agent Systems
Decentralized Inference via Capability Type Structures in Cooperative Multi-Agent Systems
Charles Jin
Zhang-Wei Hong
Farid Arthaud
Idan Orzech
Martin Rinard
31
0
0
27 Apr 2023
Should Collaborative Robots be Transparent?
Should Collaborative Robots be Transparent?
Shahabedin Sagheb
Soham Gandhi
Dylan P. Losey
35
1
0
23 Apr 2023
Adaptive Consensus Optimization Method for GANs
Adaptive Consensus Optimization Method for GANs
Sachin Kumar Danisetty
Santhosh Reddy Mylaram
Pawan Kumar
ODL
11
3
0
20 Apr 2023
MERMAIDE: Learning to Align Learners using Model-Based Meta-Learning
MERMAIDE: Learning to Align Learners using Model-Based Meta-Learning
Arundhati Banerjee
Soham R. Phade
Stefano Ermon
Stephan Zheng
OffRL
22
1
0
10 Apr 2023
Off-Policy Action Anticipation in Multi-Agent Reinforcement Learning
Off-Policy Action Anticipation in Multi-Agent Reinforcement Learning
Ariyan Bighashdel
Daan de Geus
P. Jancura
Gijs Dubbelman
OffRL
LRM
13
1
0
04 Apr 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
21
1
0
15 Mar 2023
Learning Adaptable Risk-Sensitive Policies to Coordinate in Multi-Agent
  General-Sum Games
Learning Adaptable Risk-Sensitive Policies to Coordinate in Multi-Agent General-Sum Games
Ziyi Liu
Yongchun Fang
22
1
0
14 Mar 2023
Learning to Influence Human Behavior with Offline Reinforcement Learning
Learning to Influence Human Behavior with Offline Reinforcement Learning
Joey Hong
Sergey Levine
Anca Dragan
OffRL
AI4CE
32
0
0
03 Mar 2023
IQ-Flow: Mechanism Design for Inducing Cooperative Behavior to
  Self-Interested Agents in Sequential Social Dilemmas
IQ-Flow: Mechanism Design for Inducing Cooperative Behavior to Self-Interested Agents in Sequential Social Dilemmas
Bengisu Guresti
Abdullah Vanlioglu
N. K. Üre
18
5
0
28 Feb 2023
Uncoupled Learning of Differential Stackelberg Equilibria with
  Commitments
Uncoupled Learning of Differential Stackelberg Equilibria with Commitments
R. Loftin
M. Çelikok
H. V. Hoof
Samuel Kaski
F. Oliehoek
32
1
0
07 Feb 2023
Learning Roles with Emergent Social Value Orientations
Learning Roles with Emergent Social Value Orientations
Wenhao Li
Xiangfeng Wang
Bo Jin
J. Lu
H. Zha
18
3
0
31 Jan 2023
Off-Policy Evaluation for Action-Dependent Non-Stationary Environments
Off-Policy Evaluation for Action-Dependent Non-Stationary Environments
Yash Chandak
Shiv Shankar
Nathaniel D. Bastian
Bruno Castro da Silva
Emma Brunskil
Philip S. Thomas
OffRL
44
6
0
24 Jan 2023
ApproxED: Approximate exploitability descent via learned best responses
ApproxED: Approximate exploitability descent via learned best responses
Carlos Martin
T. Sandholm
32
0
0
20 Jan 2023
Modeling Moral Choices in Social Dilemmas with Multi-Agent Reinforcement
  Learning
Modeling Moral Choices in Social Dilemmas with Multi-Agent Reinforcement Learning
Elizaveta Tennant
Stephen Hailes
Mirco Musolesi
11
17
0
20 Jan 2023
A Survey of Meta-Reinforcement Learning
A Survey of Meta-Reinforcement Learning
Jacob Beck
Risto Vuorio
E. Liu
Zheng Xiong
L. Zintgraf
Chelsea Finn
Shimon Whiteson
OOD
OffRL
37
122
0
19 Jan 2023
Learning to Participate through Trading of Reward Shares
Learning to Participate through Trading of Reward Shares
Michael Kölle
Tim Matheis
Philipp Altmann
Kyrill Schmid
26
7
0
18 Jan 2023
Function Approximation for Solving Stackelberg Equilibrium in Large
  Perfect Information Games
Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games
Chun Kai Ling
J. Zico Kolter
Fei Fang
35
0
0
29 Dec 2022
Anticipatory Fictitious Play
Anticipatory Fictitious Play
Alex Cloud
Albert Wang
W. Kerr
9
1
0
20 Dec 2022
Learning Latent Representations to Co-Adapt to Humans
Learning Latent Representations to Co-Adapt to Humans
Sagar Parekh
Dylan P. Losey
20
12
0
19 Dec 2022
Similarity-based cooperative equilibrium
Similarity-based cooperative equilibrium
Caspar Oesterheld
Johannes Treutlein
Roger C. Grosse
Vincent Conitzer
Jakob N. Foerster
15
6
0
26 Nov 2022
Melting Pot 2.0
Melting Pot 2.0
J. Agapiou
A. Vezhnevets
Edgar A. Duénez-Guzmán
Jayd Matyas
Yiran Mao
...
Sukhdeep Singh
Julia Haas
Igor Mordatch
D. Mobbs
Joel Z Leibo
33
31
0
24 Nov 2022
Learning-based social coordination to improve safety and robustness of
  cooperative autonomous vehicles in mixed traffic
Learning-based social coordination to improve safety and robustness of cooperative autonomous vehicles in mixed traffic
Rodolfo Valiente
Behrad Toghi
Mahdi Razzaghpour
Ramtin Pedarsani
Y. P. Fallah
24
4
0
22 Nov 2022
Decision-making with Speculative Opponent Models
Decision-making with Speculative Opponent Models
Jing-rong Sun
Shuo Chen
Cong Zhang
Yining Ma
Jie Zhang
28
1
0
22 Nov 2022
Value-based CTDE Methods in Symmetric Two-team Markov Game: from
  Cooperation to Team Competition
Value-based CTDE Methods in Symmetric Two-team Markov Game: from Cooperation to Team Competition
Pascal Leroy
J. Pisane
D. Ernst
25
3
0
21 Nov 2022
Adversarial Cheap Talk
Adversarial Cheap Talk
Chris Xiaoxuan Lu
Timon Willi
Alistair Letcher
Jakob N. Foerster
AAML
24
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 Method
Zichuan Liu
Lacra Pavel
LRM
31
2
0
29 Oct 2022
Game-Theoretical Perspectives on Active Equilibria: A Preferred Solution
  Concept over Nash Equilibria
Game-Theoretical Perspectives on Active Equilibria: A Preferred Solution Concept over Nash Equilibria
Dong-Ki Kim
Matthew D Riemer
Miao Liu
Jakob N. Foerster
Gerald Tesauro
Jonathan P. How
25
3
0
28 Oct 2022
Classifying Ambiguous Identities in Hidden-Role Stochastic Games with
  Multi-Agent Reinforcement Learning
Classifying Ambiguous Identities in Hidden-Role Stochastic Games with Multi-Agent Reinforcement Learning
Shijie Han
Siyuan Li
Bo An
Wei Zhao
P. Liu
35
0
0
24 Oct 2022
Group Distributionally Robust Reinforcement Learning with Hierarchical
  Latent Variables
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables
Mengdi Xu
Peide Huang
Yaru Niu
Visak C. V. Kumar
Jielin Qiu
...
Kuan-Hui Lee
Xuewei Qi
H. Lam
Bo-wen Li
Ding Zhao
OOD
67
9
0
21 Oct 2022
Oracles & Followers: Stackelberg Equilibria in Deep Multi-Agent
  Reinforcement Learning
Oracles & Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement Learning
M. Gerstgrasser
David C. Parkes
OffRL
26
19
0
19 Oct 2022
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