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. 1907.11461
  4. Cited By
Action Semantics Network: Considering the Effects of Actions in
  Multiagent Systems

Action Semantics Network: Considering the Effects of Actions in Multiagent Systems

26 July 2019
Weixun Wang
Tianpei Yang
Yong Liu
Jianye Hao
Xiaotian Hao
Yujing Hu
Yingfeng Chen
Changjie Fan
Yang Gao
ArXivPDFHTML

Papers citing "Action Semantics Network: Considering the Effects of Actions in Multiagent Systems"

5 / 5 papers shown
Title
UNMAS: Multi-Agent Reinforcement Learning for Unshaped Cooperative
  Scenarios
UNMAS: Multi-Agent Reinforcement Learning for Unshaped Cooperative Scenarios
Jiajun Chai
Weifan Li
Yuanheng Zhu
Dongbin Zhao
Zhe Ma
Kewu Sun
Jishiyu Ding
33
43
0
28 Mar 2022
Multi-Agent Policy Transfer via Task Relationship Modeling
Multi-Agent Policy Transfer via Task Relationship Modeling
Rongjun Qin
F. Chen
Tonghan Wang
Lei Yuan
Xiaoran Wu
Zongzhang Zhang
Chongjie Zhang
Yang Yu
30
19
0
09 Mar 2022
RODE: Learning Roles to Decompose Multi-Agent Tasks
RODE: Learning Roles to Decompose Multi-Agent Tasks
Tonghan Wang
Tarun Gupta
Anuj Mahajan
Bei Peng
Shimon Whiteson
Chongjie Zhang
OffRL
22
203
0
04 Oct 2020
Randomized Entity-wise Factorization for Multi-Agent Reinforcement
  Learning
Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning
Shariq Iqbal
Christian Schroeder de Witt
Bei Peng
Wendelin Bohmer
Shimon Whiteson
Fei Sha
21
63
0
07 Jun 2020
Monotonic Value Function Factorisation for Deep Multi-Agent
  Reinforcement Learning
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
47
768
0
19 Mar 2020
1