ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2006.07169
  4. Cited By
Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning
v1v2v3v4 (latest)

Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning

12 June 2020
Filippos Christianos
Lukas Schafer
Stefano V. Albrecht
ArXiv (abs)PDFHTML

Papers citing "Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning"

41 / 91 papers shown
Title
Distributed Control of Partial Differential Equations Using
  Convolutional Reinforcement Learning
Distributed Control of Partial Differential Equations Using Convolutional Reinforcement Learning
Sebastian Peitz
J. Stenner
V. Chidananda
Oliver Wallscheid
Steven L. Brunton
Kunihiko Taira
AI4CE
69
19
0
25 Jan 2023
Opponent-aware Role-based Learning in Team Competitive Markov Games
Opponent-aware Role-based Learning in Team Competitive Markov Games
Paramita Koley
Aurghya Maiti
Niloy Ganguly
Sourangshu Bhattacharya
71
1
0
14 Jan 2023
Actor-Director-Critic: A Novel Deep Reinforcement Learning Framework
Actor-Director-Critic: A Novel Deep Reinforcement Learning Framework
Zongwei Liu
Yonghong Song
Yuanlin Zhang
OffRL
75
3
0
10 Jan 2023
Self-Motivated Multi-Agent Exploration
Self-Motivated Multi-Agent Exploration
Shaowei Zhang
Jiahan Cao
Lei Yuan
Yang Yu
De-Chuan Zhan
89
5
0
05 Jan 2023
Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with
  Robotic and Human Co-Workers
Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers
Aleksandar Krnjaic
Raul D. Steleac
Jonathan D. Thomas
Georgios Papoudakis
Lukas Schafer
...
Kuan-Ho Lao
Murat Cubuktepe
Matthew Haley
Peter Borsting
Stefano V. Albrecht
OffRL
86
18
0
22 Dec 2022
Learning Latent Representations to Co-Adapt to Humans
Learning Latent Representations to Co-Adapt to Humans
Sagar Parekh
Dylan P. Losey
92
12
0
19 Dec 2022
Learning from Good Trajectories in Offline Multi-Agent Reinforcement
  Learning
Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning
Qiangxing Tian
Kun Kuang
Furui Liu
Baoxiang Wang
OffRL
73
11
0
28 Nov 2022
A Multi-Agent Approach for Adaptive Finger Cooperation in Learning-based
  In-Hand Manipulation
A Multi-Agent Approach for Adaptive Finger Cooperation in Learning-based In-Hand Manipulation
Lingfeng Tao
Jiucai Zhang
Michael Bowman
Xiaoli Zhang
67
6
0
11 Oct 2022
MARLlib: A Scalable and Efficient Multi-agent Reinforcement Learning
  Library
MARLlib: A Scalable and Efficient Multi-agent Reinforcement Learning Library
Siyi Hu
Yifan Zhong
Minquan Gao
Weixun Wang
Hao Dong
Xiaodan Liang
Zhihui Li
Xiaojun Chang
Yaodong Yang
99
17
0
11 Oct 2022
Pareto Actor-Critic for Equilibrium Selection in Multi-Agent
  Reinforcement Learning
Pareto Actor-Critic for Equilibrium Selection in Multi-Agent Reinforcement Learning
Filippos Christianos
Georgios Papoudakis
Stefano V. Albrecht
82
4
0
28 Sep 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
84
50
0
21 Sep 2022
Taming Multi-Agent Reinforcement Learning with Estimator Variance
  Reduction
Taming Multi-Agent Reinforcement Learning with Estimator Variance Reduction
Taher Jafferjee
Juliusz Ziomek
Tianpei Yang
Zipeng Dai
Jianhong Wang
Matthew E. Taylor
Kun Shao
Jun Wang
D. Mguni
64
1
0
02 Sep 2022
Deep Reinforcement Learning for Multi-Agent Interaction
Deep Reinforcement Learning for Multi-Agent Interaction
I. Ahmed
Cillian Brewitt
Ignacio Carlucho
Filippos Christianos
Mhairi Dunion
...
Lukas Schafer
Massimiliano Tamborski
Giuseppe Vecchio
Cheng Wang
Stefano V. Albrecht
DRLAI4CE
46
11
0
02 Aug 2022
A Survey of Learning on Small Data: Generalization, Optimization, and
  Challenge
A Survey of Learning on Small Data: Generalization, Optimization, and Challenge
Xiaofeng Cao
Weixin Bu
Sheng-Jun Huang
Minling Zhang
Ivor W. Tsang
Yew-Soon Ong
James T. Kwok
90
1
0
29 Jul 2022
Learning Task Embeddings for Teamwork Adaptation in Multi-Agent
  Reinforcement Learning
Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning
Lukas Schafer
Filippos Christianos
Amos Storkey
Stefano V. Albrecht
51
7
0
05 Jul 2022
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from
  Experience Replay Buffer
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer
Jeewon Jeon
Woojun Kim
Whiyoung Jung
Young-Jin Sung
70
35
0
20 Jun 2022
Logic-based Reward Shaping for Multi-Agent Reinforcement Learning
Logic-based Reward Shaping for Multi-Agent Reinforcement Learning
Ingy Elsayed-Aly
Lu Feng
48
2
0
17 Jun 2022
Revisiting Some Common Practices in Cooperative Multi-Agent
  Reinforcement Learning
Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning
Wei Fu
Chao Yu
Zelai Xu
Jiaqi Yang
Yi Wu
100
35
0
15 Jun 2022
Social Network Structure Shapes Innovation: Experience-sharing in RL
  with SAPIENS
Social Network Structure Shapes Innovation: Experience-sharing in RL with SAPIENS
Eleni Nisioti
Matéo Mahaut
Pierre-Yves Oudeyer
Ida Momennejad
Clément Moulin-Frier
87
10
0
10 Jun 2022
Learning Generalizable Risk-Sensitive Policies to Coordinate in Decentralized Multi-Agent General-Sum Games
Ziyi Liu
Xian Guo
Yongchun Fang
114
0
0
31 May 2022
Trust-based Consensus in Multi-Agent Reinforcement Learning Systems
Trust-based Consensus in Multi-Agent Reinforcement Learning Systems
Ho Long Fung
Victor-Alexandru Darvariu
Stephen Hailes
Mirco Musolesi
94
7
0
25 May 2022
Toward Policy Explanations for Multi-Agent Reinforcement Learning
Toward Policy Explanations for Multi-Agent Reinforcement Learning
Kayla Boggess
Sarit Kraus
Lu Feng
65
20
0
26 Apr 2022
Remember and Forget Experience Replay for Multi-Agent Reinforcement
  Learning
Remember and Forget Experience Replay for Multi-Agent Reinforcement Learning
Pascal Weber
Daniel Wälchli
Mustafa Zeqiri
Petros Koumoutsakos
CLLOffRL
64
7
0
24 Mar 2022
The Multi-Agent Pickup and Delivery Problem: MAPF, MARL and Its
  Warehouse Applications
The Multi-Agent Pickup and Delivery Problem: MAPF, MARL and Its Warehouse Applications
Tim Tsz-Kit Lau
B. Sengupta
50
4
0
14 Mar 2022
Hierarchically Structured Scheduling and Execution of Tasks in a
  Multi-Agent Environment
Hierarchically Structured Scheduling and Execution of Tasks in a Multi-Agent Environment
Diogo S. Carvalho
B. Sengupta
57
2
0
06 Mar 2022
Federated Reinforcement Learning for Collective Navigation of Robotic
  Swarms
Federated Reinforcement Learning for Collective Navigation of Robotic Swarms
Seongin Na
Tomáš Rouček
Jiří Ulrich
Jan Pikman
T. Krajník
Barry Lennox
F. Arvin
61
34
0
02 Feb 2022
Learning Collective Action under Risk Diversity
Learning Collective Action under Risk Diversity
Ramona Merhej
Fernando P. Santos
Francisco S. Melo
Mohamed Chetouani
Francisco C. Santos
18
1
0
30 Jan 2022
Offsetting Unequal Competition through RL-assisted Incentive Schemes
Offsetting Unequal Competition through RL-assisted Incentive Schemes
Paramita Koley
Aurghya Maiti
Sourangshu Bhattacharya
Niloy Ganguly
60
1
0
05 Jan 2022
Collaboration Promotes Group Resilience in Multi-Agent AI
Collaboration Promotes Group Resilience in Multi-Agent AI
Sarah Keren
M. Gerstgrasser
Ofir Abu
J. Rosenschein
35
0
0
12 Nov 2021
LINDA: Multi-Agent Local Information Decomposition for Awareness of
  Teammates
LINDA: Multi-Agent Local Information Decomposition for Awareness of Teammates
Jiahan Cao
Lei Yuan
Jianhao Wang
Shaowei Zhang
Chongjie Zhang
Yang Yu
De-Chuan Zhan
99
20
0
26 Sep 2021
Regularize! Don't Mix: Multi-Agent Reinforcement Learning without
  Explicit Centralized Structures
Regularize! Don't Mix: Multi-Agent Reinforcement Learning without Explicit Centralized Structures
Chapman Siu
Jason M. Traish
R. Xu
OffRL
21
0
0
19 Sep 2021
Greedy UnMixing for Q-Learning in Multi-Agent Reinforcement Learning
Greedy UnMixing for Q-Learning in Multi-Agent Reinforcement Learning
Chapman Siu
Jason M. Traish
R. Xu
65
2
0
19 Sep 2021
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
Iou-Jen Liu
Unnat Jain
Raymond A. Yeh
Alex Schwing
99
104
0
23 Jul 2021
Learning Altruistic Behaviours in Reinforcement Learning without
  External Rewards
Learning Altruistic Behaviours in Reinforcement Learning without External Rewards
Tim Franzmeyer
Mateusz Malinowski
João F. Henriques
56
8
0
20 Jul 2021
Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated
  Exploration
Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration
Lukas Schafer
Filippos Christianos
Josiah P. Hanna
Stefano V. Albrecht
92
23
0
19 Jul 2021
Mava: a research library for distributed multi-agent reinforcement
  learning in JAX
Mava: a research library for distributed multi-agent reinforcement learning in JAX
Arnu Pretorius
Kale-ab Tessera
St John Grimbly
Kevin Eloff
Lawrence Francis
Claude Formanek
Andries P. Smit
Alexandre Laterre
119
13
0
03 Jul 2021
Celebrating Diversity in Shared Multi-Agent Reinforcement Learning
Celebrating Diversity in Shared Multi-Agent Reinforcement Learning
Chenghao Li
Tonghan Wang
Chengjie Wu
Qianchuan Zhao
Jun Yang
Chongjie Zhang
72
146
0
04 Jun 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
81
119
0
15 Feb 2021
Towards Understanding Asynchronous Advantage Actor-critic: Convergence
  and Linear Speedup
Towards Understanding Asynchronous Advantage Actor-critic: Convergence and Linear Speedup
Han Shen
Kai Zhang
Min-Fong Hong
Tianyi Chen
67
30
0
31 Dec 2020
Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning
Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning
Arrasy Rahman
Niklas Höpner
Filippos Christianos
Stefano V. Albrecht
73
58
0
18 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
105
233
0
14 Jun 2020
Previous
12