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1906.02330
Cited By
Finding Friend and Foe in Multi-Agent Games
5 June 2019
Jack Serrino
Max Kleiman-Weiner
David C. Parkes
J. Tenenbaum
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Papers citing
"Finding Friend and Foe in Multi-Agent Games"
13 / 13 papers shown
Title
MultiMind: Enhancing Werewolf Agents with Multimodal Reasoning and Theory of Mind
Zhenru Zhang
Nuoqian Xiao
Qi Chai
Deheng Ye
Hao Wang
LLMAG
LRM
124
0
0
25 Apr 2025
Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf
Xuanfa Jin
Ziyan Wang
Yali Du
Meng Fang
Haifeng Zhang
Jun Wang
OffRL
LLMAG
78
6
0
30 May 2024
Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game
Zelai Xu
Chao Yu
Fei Fang
Yu Wang
Yi Wu
LLMAG
68
84
0
29 Oct 2023
Theory of Minds: Understanding Behavior in Groups Through Inverse Planning
Michael Shum
Max Kleiman-Weiner
Michael L. Littman
J. Tenenbaum
AI4CE
27
80
0
18 Jan 2019
Deep Counterfactual Regret Minimization
Noam Brown
Adam Lerer
Sam Gross
Tuomas Sandholm
43
213
0
01 Nov 2018
Learning to Share and Hide Intentions using Information Regularization
D. Strouse
Max Kleiman-Weiner
J. Tenenbaum
M. Botvinick
D. Schwab
24
60
0
06 Aug 2018
A Generalised Method for Empirical Game Theoretic Analysis
K. Tuyls
Julien Perolat
Marc Lanctot
Joel Z Leibo
T. Graepel
16
56
0
16 Mar 2018
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
Marc Lanctot
V. Zambaldi
A. Gruslys
Angeliki Lazaridou
K. Tuyls
Julien Perolat
David Silver
T. Graepel
77
628
0
02 Nov 2017
Autonomous Agents Modelling Other Agents: A Comprehensive Survey and Open Problems
Stefano V. Albrecht
Peter Stone
82
467
0
23 Sep 2017
A multi-agent reinforcement learning model of common-pool resource appropriation
Julien Perolat
Joel Z Leibo
V. Zambaldi
Charlie Beattie
K. Tuyls
T. Graepel
37
186
0
20 Jul 2017
Maintaining cooperation in complex social dilemmas using deep reinforcement learning
Adam Lerer
A. Peysakhovich
57
158
0
04 Jul 2017
Multi-agent Reinforcement Learning in Sequential Social Dilemmas
Joel Z Leibo
V. Zambaldi
Marc Lanctot
J. Marecki
T. Graepel
37
606
0
10 Feb 2017
DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker
Matej Moravcík
Martin Schmid
Neil Burch
Viliam Lisý
Dustin Morrill
Nolan Bard
Trevor Davis
Kevin Waugh
Michael Bradley Johanson
Michael Bowling
BDL
49
904
0
06 Jan 2017
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