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Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent
  Reinforcement Learning

Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning

11 October 2024
Xinran Li
Ling Pan
Jun Zhang
ArXiv (abs)PDFHTMLGithub (18★)

Papers citing "Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning"

26 / 26 papers shown
Title
A Survey of Progress on Cooperative Multi-agent Reinforcement Learning
  in Open Environment
A Survey of Progress on Cooperative Multi-agent Reinforcement Learning in Open Environment
Lei Yuan
Ziqian Zhang
Lihe Li
Cong Guan
Yang Yu
LRM
42
37
0
02 Dec 2023
Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error
  Feedback
Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback
Hang Wang
Sen Lin
Junshan Zhang
61
19
0
20 Jun 2023
Deep Reinforcement Learning with Plasticity Injection
Deep Reinforcement Learning with Plasticity Injection
Evgenii Nikishin
Junhyuk Oh
Georg Ostrovski
Clare Lyle
Razvan Pascanu
Will Dabney
André Barreto
OffRL
47
52
0
24 May 2023
Effective and Stable Role-Based Multi-Agent Collaboration by Structural
  Information Principles
Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information Principles
Xianghua Zeng
Hao Peng
Angsheng Li
58
31
0
03 Apr 2023
GPT-4 Technical Report
GPT-4 Technical Report
OpenAI OpenAI
OpenAI Josh Achiam
Steven Adler
Sandhini Agarwal
Lama Ahmad
...
Shengjia Zhao
Tianhao Zheng
Juntang Zhuang
William Zhuk
Barret Zoph
LLMAGMLLM
1.5K
14,699
0
15 Mar 2023
Dropout Q-Functions for Doubly Efficient Reinforcement Learning
Dropout Q-Functions for Doubly Efficient Reinforcement Learning
Takuya Hiraoka
Takahisa Imagawa
Taisei Hashimoto
Takashi Onishi
Yoshimasa Tsuruoka
69
113
0
05 Oct 2021
The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games
The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games
Chao Yu
Akash Velu
Eugene Vinitsky
Jiaxuan Gao
Yu Wang
Alexandre M. Bayen
Yi Wu
OffRL
141
1,271
0
02 Mar 2021
Scaling Multi-Agent Reinforcement Learning with Selective Parameter
  Sharing
Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing
Filippos Christianos
Georgios Papoudakis
Arrasy Rahman
Stefano V. Albrecht
58
118
0
15 Feb 2021
Rethinking the Implementation Tricks and Monotonicity Constraint in
  Cooperative Multi-Agent Reinforcement Learning
Rethinking the Implementation Tricks and Monotonicity Constraint in Cooperative Multi-Agent Reinforcement Learning
Jian Hu
Siyang Jiang
Seth Austin Harding
Haibin Wu
Shihua Liao
71
90
0
06 Feb 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference
  and training in neural networks
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks
Torsten Hoefler
Dan Alistarh
Tal Ben-Nun
Nikoli Dryden
Alexandra Peste
MQ
314
724
0
31 Jan 2021
RODE: Learning Roles to Decompose Multi-Agent Tasks
RODE: Learning Roles to Decompose Multi-Agent Tasks
Tonghan Wang
Tarun Gupta
Anuj Mahajan
Bei Peng
Shimon Whiteson
Chongjie Zhang
OffRL
80
211
0
04 Oct 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
77
233
0
14 Jun 2020
The Emergence of Individuality
The Emergence of Individuality
Jiechuan Jiang
Zongqing Lu
52
40
0
10 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
110
814
0
19 Mar 2020
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles
Tonghan Wang
Heng Dong
V. Lesser
Chongjie Zhang
101
221
0
18 Mar 2020
Maxmin Q-learning: Controlling the Estimation Bias of Q-learning
Maxmin Q-learning: Controlling the Estimation Bias of Q-learning
Qingfeng Lan
Yangchen Pan
Alona Fyshe
Martha White
67
179
0
16 Feb 2020
Soft Threshold Weight Reparameterization for Learnable Sparsity
Soft Threshold Weight Reparameterization for Learnable Sparsity
Aditya Kusupati
Vivek Ramanujan
Raghav Somani
Mitchell Wortsman
Prateek Jain
Sham Kakade
Ali Farhadi
148
247
0
08 Feb 2020
What's Hidden in a Randomly Weighted Neural Network?
What's Hidden in a Randomly Weighted Neural Network?
Vivek Ramanujan
Mitchell Wortsman
Aniruddha Kembhavi
Ali Farhadi
Mohammad Rastegari
66
361
0
29 Nov 2019
Rigging the Lottery: Making All Tickets Winners
Rigging the Lottery: Making All Tickets Winners
Utku Evci
Trevor Gale
Jacob Menick
Pablo Samuel Castro
Erich Elsen
197
607
0
25 Nov 2019
Reducing Overestimation Bias in Multi-Agent Domains Using Double
  Centralized Critics
Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics
J. Ackermann
Pau Cebrian
Antonio Espinosa
Masashi Sugiyama
OffRL
38
121
0
03 Oct 2019
Scaled Autonomy: Enabling Human Operators to Control Robot Fleets
Scaled Autonomy: Enabling Human Operators to Control Robot Fleets
Gokul Swamy
S. Reddy
Sergey Levine
Anca Dragan
64
43
0
22 Sep 2019
Playing the lottery with rewards and multiple languages: lottery tickets
  in RL and NLP
Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP
Haonan Yu
Sergey Edunov
Yuandong Tian
Ari S. Morcos
52
150
0
06 Jun 2019
Addressing Function Approximation Error in Actor-Critic Methods
Addressing Function Approximation Error in Actor-Critic Methods
Scott Fujimoto
H. V. Hoof
David Meger
OffRL
187
5,212
0
26 Feb 2018
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
162
4,509
0
07 Jun 2017
Counterfactual Multi-Agent Policy Gradients
Counterfactual Multi-Agent Policy Gradients
Jakob N. Foerster
Gregory Farquhar
Triantafyllos Afouras
Nantas Nardelli
Shimon Whiteson
138
2,087
0
24 May 2017
Learning to Communicate with Deep Multi-Agent Reinforcement Learning
Learning to Communicate with Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster
Yannis Assael
Nando de Freitas
Shimon Whiteson
155
1,614
0
21 May 2016
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