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Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning

Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning

4 December 2019
Hengyuan Hu
Jakob N. Foerster
    OffRL
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Papers citing "Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning"

16 / 16 papers shown
Title
A Generalist Hanabi Agent
A Generalist Hanabi Agent
Arjun Vaithilingam Sudhakar
Hadi Nekoei
Mathieu Reymond
Miao Liu
Janarthanan Rajendran
Sarath Chandar
186
0
0
17 Mar 2025
Symmetry-Breaking Augmentations for Ad Hoc Teamwork
Symmetry-Breaking Augmentations for Ad Hoc Teamwork
Ravi Hammond
Dustin Craggs
Mingyu Guo
Jakob Foerster
Ian Reid
29
1
0
15 Feb 2024
LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models
LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models
Saaket Agashe
Yue Fan
Anthony Reyna
Xin Wang
LLMAG
LRM
102
10
0
05 Oct 2023
Improving Zero-Shot Coordination Performance Based on Policy Similarity
Improving Zero-Shot Coordination Performance Based on Policy Similarity
Lebin Yu
Yunbo Qiu
Quanming Yao
Xudong Zhang
Jian Wang
22
1
0
10 Feb 2023
Optimal Behavior Prior: Data-Efficient Human Models for Improved
  Human-AI Collaboration
Optimal Behavior Prior: Data-Efficient Human Models for Improved Human-AI Collaboration
Mesut Yang
Micah Carroll
Anca Dragan
35
13
0
03 Nov 2022
Towards a Standardised Performance Evaluation Protocol for Cooperative
  MARL
Towards a Standardised Performance Evaluation Protocol for Cooperative MARL
R. Gorsane
Omayma Mahjoub
Ruan de Kock
Roland Dubb
Siddarth S. Singh
Arnu Pretorius
OffRL
39
49
0
21 Sep 2022
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
30
2
0
13 Jul 2022
Universally Expressive Communication in Multi-Agent Reinforcement
  Learning
Universally Expressive Communication in Multi-Agent Reinforcement Learning
Matthew Morris
Thomas D. Barrett
Arnu Pretorius
24
4
0
14 Jun 2022
Evolving Curricula with Regret-Based Environment Design
Evolving Curricula with Regret-Based Environment Design
Jack Parker-Holder
Minqi Jiang
Michael Dennis
Mikayel Samvelyan
Jakob N. Foerster
Edward Grefenstette
Tim Rocktaschel
31
117
0
02 Mar 2022
Conditional Imitation Learning for Multi-Agent Games
Conditional Imitation Learning for Multi-Agent Games
Andy Shih
Stefano Ermon
Dorsa Sadigh
32
11
0
05 Jan 2022
Evaluation of Human-AI Teams for Learned and Rule-Based Agents in Hanabi
Evaluation of Human-AI Teams for Learned and Rule-Based Agents in Hanabi
H. Siu
Jaime D. Peña
Edenna Chen
Yutai Zhou
Victor J. Lopez
Kyle Palko
K. Chang
R. Allen
19
57
0
15 Jul 2021
Optimal communication and control strategies in a multi-agent MDP
  problem
Optimal communication and control strategies in a multi-agent MDP problem
Sagar Sudhakara
D. Kartik
Rahul Jain
A. Nayyar
16
3
0
22 Apr 2021
On the Critical Role of Conventions in Adaptive Human-AI Collaboration
On the Critical Role of Conventions in Adaptive Human-AI Collaboration
Andy Shih
Arjun Sawhney
J. Kondic
Stefano Ermon
Dorsa Sadigh
38
37
0
07 Apr 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
Learning to Play No-Press Diplomacy with Best Response Policy Iteration
Learning to Play No-Press Diplomacy with Best Response Policy Iteration
Thomas W. Anthony
Tom Eccles
Andrea Tacchetti
János Kramár
I. Gemp
...
Richard Everett
Roman Werpachowski
Satinder Singh
T. Graepel
Yoram Bachrach
16
42
0
08 Jun 2020
Evaluating the Rainbow DQN Agent in Hanabi with Unseen Partners
Evaluating the Rainbow DQN Agent in Hanabi with Unseen Partners
Rodrigo Canaan
Xianbo Gao
Youjin Chung
Julian Togelius
Andy Nealen
Stefan Menzel
19
4
0
28 Apr 2020
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