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Multi-agent Hierarchical Reinforcement Learning with Dynamic Termination

Multi-agent Hierarchical Reinforcement Learning with Dynamic Termination

21 October 2019
Dongge Han
Wendelin Bohmer
Michael Wooldridge
A. Rogers
ArXivPDFHTML

Papers citing "Multi-agent Hierarchical Reinforcement Learning with Dynamic Termination"

3 / 3 papers shown
Title
Asynchronous, Option-Based Multi-Agent Policy Gradient: A Conditional
  Reasoning Approach
Asynchronous, Option-Based Multi-Agent Policy Gradient: A Conditional Reasoning Approach
Xubo Lyu
Amin Banitalebi-Dehkordi
Mo Chen
Yong Zhang
24
2
0
29 Mar 2022
An Efficient Transfer Learning Framework for Multiagent Reinforcement
  Learning
An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning
Tianpei Yang
Weixun Wang
Hongyao Tang
Jianye Hao
Zhaopeng Meng
...
Wulong Liu
Chen Zhang
Yujing Hu
Yingfeng Chen
Changjie Fan
24
22
0
19 Feb 2020
Stabilising Experience Replay for Deep Multi-Agent Reinforcement
  Learning
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster
Nantas Nardelli
Gregory Farquhar
Triantafyllos Afouras
Philip H. S. Torr
Pushmeet Kohli
Shimon Whiteson
OffRL
111
595
0
28 Feb 2017
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