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Fact-based Agent modeling for Multi-Agent Reinforcement Learning

Fact-based Agent modeling for Multi-Agent Reinforcement Learning

18 October 2023
Baofu Fang
Caiming Zheng
Hao Wang
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Fact-based Agent modeling for Multi-Agent Reinforcement Learning"

11 / 11 papers shown
Title
Model-Based Opponent Modeling
Model-Based Opponent Modeling
Xiaopeng Yu
Jiechuan Jiang
Wanpeng Zhang
Haobin Jiang
Zongqing Lu
OffRL
73
29
0
04 Aug 2021
A Policy Gradient Algorithm for Learning to Learn in Multiagent
  Reinforcement Learning
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning
Dong-Ki Kim
Miao Liu
Matthew D Riemer
Chuangchuang Sun
Marwa Abdulhai
Golnaz Habibi
Sebastian Lopez-Cot
Gerald Tesauro
Jonathan P. How
53
56
0
31 Oct 2020
Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep
  Multi-Agent Reinforcement Learning
Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
Tabish Rashid
Gregory Farquhar
Bei Peng
Shimon Whiteson
101
353
0
18 Jun 2020
Agent Modelling under Partial Observability for Deep Reinforcement
  Learning
Agent Modelling under Partial Observability for Deep Reinforcement Learning
Georgios Papoudakis
Filippos Christianos
Stefano V. Albrecht
64
62
0
16 Jun 2020
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in
  Cooperative Tasks
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks
Georgios Papoudakis
Filippos Christianos
Lukas Schafer
Stefano V. Albrecht
OffRL
63
229
0
14 Jun 2020
Monotonic Value Function Factorisation for Deep Multi-Agent
  Reinforcement Learning
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
Tabish Rashid
Mikayel Samvelyan
Christian Schroeder de Witt
Gregory Farquhar
Jakob N. Foerster
Shimon Whiteson
105
808
0
19 Mar 2020
Variational Autoencoders for Opponent Modeling in Multi-Agent Systems
Variational Autoencoders for Opponent Modeling in Multi-Agent Systems
Georgios Papoudakis
Stefano V. Albrecht
BDLDRL
47
28
0
29 Jan 2020
Dota 2 with Large Scale Deep Reinforcement Learning
Dota 2 with Large Scale Deep Reinforcement Learning
OpenAI OpenAI
:
Christopher Berner
Greg Brockman
Brooke Chan
...
Szymon Sidor
Ilya Sutskever
Jie Tang
Filip Wolski
Susan Zhang
GNNVLMCLLAI4CELRM
169
1,824
0
13 Dec 2019
Autonomous Agents Modelling Other Agents: A Comprehensive Survey and
  Open Problems
Autonomous Agents Modelling Other Agents: A Comprehensive Survey and Open Problems
Stefano V. Albrecht
Peter Stone
100
471
0
23 Sep 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Ryan J. Lowe
Yi Wu
Aviv Tamar
J. Harb
Pieter Abbeel
Igor Mordatch
140
4,485
0
07 Jun 2017
Asynchronous Methods for Deep Reinforcement Learning
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih
Adria Puigdomenech Badia
M. Berk Mirza
Alex Graves
Timothy Lillicrap
Tim Harley
David Silver
Koray Kavukcuoglu
199
8,859
0
04 Feb 2016
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