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. 2302.10418
  4. Cited By
MAC-PO: Multi-Agent Experience Replay via Collective Priority
  Optimization

MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization

21 February 2023
Yongsheng Mei
Hanhan Zhou
Tian-Shing Lan
Guru Venkataramani
Peng Wei
ArXivPDFHTML

Papers citing "MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization"

20 / 20 papers shown
Title
ReMIX: Regret Minimization for Monotonic Value Function Factorization in
  Multiagent Reinforcement Learning
ReMIX: Regret Minimization for Monotonic Value Function Factorization in Multiagent Reinforcement Learning
Yongsheng Mei
Hanhan Zhou
Tian-Shing Lan
65
11
0
11 Feb 2023
Scalability Bottlenecks in Multi-Agent Reinforcement Learning Systems
Scalability Bottlenecks in Multi-Agent Reinforcement Learning Systems
Kailash Gogineni
Peng Wei
Tian-Shing Lan
Guru Venkataramani
64
8
0
10 Feb 2023
Actor Prioritized Experience Replay
Actor Prioritized Experience Replay
Baturay Saglam
Furkan B. Mutlu
Dogan C. Cicek
Suleyman S. Kozat
58
26
0
01 Sep 2022
PAC: Assisted Value Factorisation with Counterfactual Predictions in
  Multi-Agent Reinforcement Learning
PAC: Assisted Value Factorisation with Counterfactual Predictions in Multi-Agent Reinforcement Learning
Hanhan Zhou
Tian-Shing Lan
Vaneet Aggarwal
46
4
0
22 Jun 2022
Divergence-Regularized Multi-Agent Actor-Critic
Divergence-Regularized Multi-Agent Actor-Critic
Kefan Su
Zongqing Lu
116
25
0
01 Oct 2021
QPLEX: Duplex Dueling Multi-Agent Q-Learning
QPLEX: Duplex Dueling Multi-Agent Q-Learning
Jianhao Wang
Zhizhou Ren
Terry Liu
Yang Yu
Chongjie Zhang
OffRL
101
455
0
03 Aug 2020
Value-Decomposition Multi-Agent Actor-Critics
Value-Decomposition Multi-Agent Actor-Critics
Jianyu Su
Stephen C. Adams
Peter A. Beling
98
106
0
24 Jul 2020
Experience Replay with Likelihood-free Importance Weights
Experience Replay with Likelihood-free Importance Weights
Samarth Sinha
Jiaming Song
Animesh Garg
Stefano Ermon
OffRL
68
56
0
23 Jun 2020
DisCor: Corrective Feedback in Reinforcement Learning via Distribution
  Correction
DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction
Aviral Kumar
Abhishek Gupta
Sergey Levine
OffRL
46
101
0
16 Mar 2020
Deep Coordination Graphs
Deep Coordination Graphs
Wendelin Bohmer
Vitaly Kurin
Shimon Whiteson
GNN
69
178
0
27 Sep 2019
Experience Replay Optimization
Experience Replay Optimization
Daochen Zha
Kwei-Herng Lai
Kaixiong Zhou
Xia Hu
OffRL
47
103
0
19 Jun 2019
QTRAN: Learning to Factorize with Transformation for Cooperative
  Multi-Agent Reinforcement Learning
QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning
Kyunghwan Son
Daewoo Kim
Wan Ju Kang
D. Hostallero
Yung Yi
OffRL
59
807
0
14 May 2019
The StarCraft Multi-Agent Challenge
The StarCraft Multi-Agent Challenge
Mikayel Samvelyan
Tabish Rashid
Christian Schroeder de Witt
Gregory Farquhar
Nantas Nardelli
Tim G. J. Rudner
Chia-Man Hung
Philip Torr
Jakob N. Foerster
Shimon Whiteson
93
953
0
11 Feb 2019
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent
  Reinforcement Learning
QMIX: 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
150
1,671
0
30 Mar 2018
Distributed Prioritized Experience Replay
Distributed Prioritized Experience Replay
Dan Horgan
John Quan
David Budden
Gabriel Barth-Maron
Matteo Hessel
H. V. Hasselt
David Silver
147
741
0
02 Mar 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
140
4,485
0
07 Jun 2017
Multiagent Cooperation and Competition with Deep Reinforcement Learning
Multiagent Cooperation and Competition with Deep Reinforcement Learning
Ardi Tampuu
Tambet Matiisen
Dorian Kodelja
Ilya Kuzovkin
Kristjan Korjus
Juhan Aru
Jaan Aru
Raul Vicente
96
865
0
27 Nov 2015
Dueling Network Architectures for Deep Reinforcement Learning
Dueling Network Architectures for Deep Reinforcement Learning
Ziyun Wang
Tom Schaul
Matteo Hessel
H. V. Hasselt
Marc Lanctot
Nando de Freitas
OffRL
91
3,755
0
20 Nov 2015
Prioritized Experience Replay
Prioritized Experience Replay
Tom Schaul
John Quan
Ioannis Antonoglou
David Silver
OffRL
217
3,788
0
18 Nov 2015
Deep Reinforcement Learning with Double Q-learning
Deep Reinforcement Learning with Double Q-learning
H. V. Hasselt
A. Guez
David Silver
OffRL
167
7,641
0
22 Sep 2015
1