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. 1910.01465
  4. Cited By
Reducing Overestimation Bias in Multi-Agent Domains Using Double
  Centralized Critics

Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics

3 October 2019
J. Ackermann
Pau Cebrian
Antonio Espinosa
Masashi Sugiyama
    OffRL
ArXivPDFHTML

Papers citing "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics"

12 / 12 papers shown
Title
B3C: A Minimalist Approach to Offline Multi-Agent Reinforcement Learning
B3C: A Minimalist Approach to Offline Multi-Agent Reinforcement Learning
Woojun Kim
Katia P. Sycara
OffRL
94
0
0
30 Jan 2025
MADiff: Offline Multi-agent Learning with Diffusion Models
MADiff: Offline Multi-agent Learning with Diffusion Models
Zhengbang Zhu
Minghuan Liu
Liyuan Mao
Bingyi Kang
Minkai Xu
Yong Yu
Stefano Ermon
Weinan Zhang
DiffM
OffRL
88
34
0
03 Jan 2025
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for
  Mobile Edge Computing, its Applications, and Future Research Trajectories
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories
Ning Yang
Shuo Chen
Haijun Zhang
Randall Berry
OffRL
34
6
0
22 Apr 2024
Network-Assisted Full-Duplex Cell-Free mmWave Networks: Hybrid MIMO
  Processing and Multi-Agent DRL-Based Power Allocation
Network-Assisted Full-Duplex Cell-Free mmWave Networks: Hybrid MIMO Processing and Multi-Agent DRL-Based Power Allocation
Q. Fan
Yu Zhang
Jiamin Li
Dongmin Wang
Hongbiao Zhang
Xiaohu You
21
1
0
31 Mar 2024
Effective Multi-Agent Deep Reinforcement Learning Control with Relative
  Entropy Regularization
Effective Multi-Agent Deep Reinforcement Learning Control with Relative Entropy Regularization
Chenyang Miao
Yunduan Cui
Huiyun Li
Xin Wu
24
5
0
26 Sep 2023
Beyond Conservatism: Diffusion Policies in Offline Multi-agent
  Reinforcement Learning
Beyond Conservatism: Diffusion Policies in Offline Multi-agent Reinforcement Learning
Zhuoran Li
Ling Pan
Longbo Huang
DiffM
OffRL
23
7
0
04 Jul 2023
Decentralized Multi-Agent Reinforcement Learning with Global State
  Prediction
Decentralized Multi-Agent Reinforcement Learning with Global State Prediction
Josh Bloom
Pranjal Paliwal
Apratim Mukherjee
Carlo Pinciroli
27
3
0
22 Jun 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
24
8
0
10 Feb 2023
Satellite Navigation and Coordination with Limited Information Sharing
Satellite Navigation and Coordination with Limited Information Sharing
Sydney I. Dolan
Siddharth Nayak
H. Balakrishnan
28
5
0
07 Nov 2022
Scalable Multi-Agent Reinforcement Learning through Intelligent
  Information Aggregation
Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation
Siddharth Nayak
Kenneth M. F. Choi
Wenqi Ding
Sydney I. Dolan
Karthik Gopalakrishnan
H. Balakrishnan
17
29
0
03 Nov 2022
Stabilizing Voltage in Power Distribution Networks via Multi-Agent
  Reinforcement Learning with Transformer
Stabilizing Voltage in Power Distribution Networks via Multi-Agent Reinforcement Learning with Transformer
Minrui Wang
Ming Feng
Wen-gang Zhou
Houqiang Li
33
9
0
08 Jun 2022
Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent
  Control
Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent Control
Qingrui Zhang
Hao Dong
Wei Pan
29
6
0
20 Sep 2020
1