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. 2105.06228
  4. Cited By
SIDE: State Inference for Partially Observable Cooperative Multi-Agent
  Reinforcement Learning

SIDE: State Inference for Partially Observable Cooperative Multi-Agent Reinforcement Learning

13 May 2021
Zhiwei Xu
Yunru Bai
Dapeng Li
Bin Zhang
Guoliang Fan
ArXivPDFHTML

Papers citing "SIDE: State Inference for Partially Observable Cooperative Multi-Agent Reinforcement Learning"

5 / 5 papers shown
Title
On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow
On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow
Tonghan Wang
Heng Dong
Yanchen Jiang
David C. Parkes
Milind Tambe
DiffM
44
2
0
17 Oct 2024
Latent Interactive A2C for Improved RL in Open Many-Agent Systems
Latent Interactive A2C for Improved RL in Open Many-Agent Systems
Keyang He
Prashant Doshi
Bikramjit Banerjee
OffRL
23
3
0
09 May 2023
HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with
  Dual Coordination Mechanism
HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism
Zhiwei Xu
Yunpeng Bai
Bin Zhang
Dapeng Li
Guoliang Fan
22
23
0
14 Oct 2021
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles
Tonghan Wang
Heng Dong
V. Lesser
Chongjie Zhang
55
210
0
18 Mar 2020
MAVEN: Multi-Agent Variational Exploration
MAVEN: Multi-Agent Variational Exploration
Anuj Mahajan
Tabish Rashid
Mikayel Samvelyan
Shimon Whiteson
DRL
137
355
0
16 Oct 2019
1