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Rethinking Formal Models of Partially Observable Multiagent Decision
  Making

Rethinking Formal Models of Partially Observable Multiagent Decision Making

26 June 2019
Vojtěch Kovařík
Martin Schmid
Neil Burch
Michael Bowling
Viliam Lisý
    OffRL
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Papers citing "Rethinking Formal Models of Partially Observable Multiagent Decision Making"

13 / 13 papers shown
Title
Approximating Nash Equilibria in General-Sum Games via Meta-Learning
Approximating Nash Equilibria in General-Sum Games via Meta-Learning
David Sychrovský
Christopher Solinas
Revan MacQueen
Kevin Wang
James Wright
Nathan R Sturtevant
Michael Bowling
21
0
0
26 Apr 2025
Solving Hierarchical Information-Sharing Dec-POMDPs: An Extensive-Form Game Approach
Solving Hierarchical Information-Sharing Dec-POMDPs: An Extensive-Form Game Approach
Johan Peralez
Aurélien Delage
Olivier Buffet
J. Dibangoye
42
1
0
03 Jan 2025
Optimally Solving Simultaneous-Move Dec-POMDPs: The Sequential Central Planning Approach
Optimally Solving Simultaneous-Move Dec-POMDPs: The Sequential Central Planning Approach
Johan Peralez
Aurélien Delage
Jacopo Castellini
Rafael F. Cunha
J. Dibangoye
35
0
0
23 Aug 2024
Normative Modules: A Generative Agent Architecture for Learning Norms
  that Supports Multi-Agent Cooperation
Normative Modules: A Generative Agent Architecture for Learning Norms that Supports Multi-Agent Cooperation
Atrisha Sarkar
Andrei Ioan Muresanu
Carter Blair
Aaryam Sharma
Rakshit S Trivedi
Gillian K Hadfield
45
1
0
29 May 2024
Learning not to Regret
Learning not to Regret
David Sychrovský
Michal Sustr
Elnaz Davoodi
Michael Bowling
Marc Lanctot
Martin Schmid
34
3
0
02 Mar 2023
Abstracting Imperfect Information Away from Two-Player Zero-Sum Games
Abstracting Imperfect Information Away from Two-Player Zero-Sum Games
Samuel Sokota
Ryan DÓrazio
Chun Kai Ling
David J. Wu
J. Zico Kolter
Noam Brown
27
4
0
22 Jan 2023
Self-Explaining Deviations for Coordination
Self-Explaining Deviations for Coordination
Hengyuan Hu
Samuel Sokota
David J. Wu
A. Bakhtin
Andrei Lupu
Brandon Cui
Jakob N. Foerster
27
2
0
13 Jul 2022
Near-Optimal Learning of Extensive-Form Games with Imperfect Information
Near-Optimal Learning of Extensive-Form Games with Imperfect Information
Yunru Bai
Chi Jin
Song Mei
Tiancheng Yu
21
26
0
03 Feb 2022
The Partially Observable History Process
The Partially Observable History Process
Dustin Morrill
Amy Greenwald
Michael Bowling
AI4CE
21
2
0
15 Nov 2021
Causal Multi-Agent Reinforcement Learning: Review and Open Problems
Causal Multi-Agent Reinforcement Learning: Review and Open Problems
St John Grimbly
Jonathan P. Shock
Arnu Pretorius
44
17
0
12 Nov 2021
Solving Common-Payoff Games with Approximate Policy Iteration
Solving Common-Payoff Games with Approximate Policy Iteration
Samuel Sokota
Edward Lockhart
Finbarr Timbers
Elnaz Davoodi
Ryan DÓrazio
Neil Burch
Martin Schmid
Michael Bowling
Marc Lanctot
42
22
0
11 Jan 2021
Combining Deep Reinforcement Learning and Search for
  Imperfect-Information Games
Combining Deep Reinforcement Learning and Search for Imperfect-Information Games
Noam Brown
A. Bakhtin
Adam Lerer
Qucheng Gong
20
133
0
27 Jul 2020
DREAM: Deep Regret minimization with Advantage baselines and Model-free
  learning
DREAM: Deep Regret minimization with Advantage baselines and Model-free learning
Eric Steinberger
Adam Lerer
Noam Brown
33
53
0
18 Jun 2020
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