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. 2306.07465
  4. Cited By
A Black-box Approach for Non-stationary Multi-agent Reinforcement
  Learning

A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning

12 June 2023
Haozhe Jiang
Qiwen Cui
Zhihan Xiong
Maryam Fazel
S. Du
ArXivPDFHTML

Papers citing "A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning"

6 / 6 papers shown
Title
Independent Learning in Performative Markov Potential Games
Independent Learning in Performative Markov Potential Games
Rilind Sahitaj
Paulius Sasnauskas
Yiğit Yalın
Debmalya Mandal
Goran Radanović
36
0
0
29 Apr 2025
Autonomous Vehicles Using Multi-Agent Reinforcement Learning for Routing Decisions Can Harm Urban Traffic
Autonomous Vehicles Using Multi-Agent Reinforcement Learning for Routing Decisions Can Harm Urban Traffic
Anastasia Psarou
Ahmet Onur Akman
Łukasz Gorczyca
Michał Hoffmann
Zoltán György Varga
Grzegorz Jamróz
Rafał Kucharski
62
0
0
20 Feb 2025
The complexity of non-stationary reinforcement learning
The complexity of non-stationary reinforcement learning
Christos H. Papadimitriou
Binghui Peng
33
2
0
13 Jul 2023
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?
Yihe Zhou
Shunyu Liu
Yunpeng Qing
Kaixuan Chen
Tongya Zheng
Jie Song
Mingli Song
34
18
0
27 May 2023
Sample-Efficient Learning of Correlated Equilibria in Extensive-Form
  Games
Sample-Efficient Learning of Correlated Equilibria in Extensive-Form Games
Ziang Song
Song Mei
Yu Bai
52
10
0
15 May 2022
No-Regret Learning in Time-Varying Zero-Sum Games
No-Regret Learning in Time-Varying Zero-Sum Games
Mengxiao Zhang
Peng Zhao
Haipeng Luo
Zhi-Hua Zhou
33
38
0
30 Jan 2022
1