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

Yong Liu

Jianye Hao

Changjie Fan

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

8 / 8 papers shown

Title
The StarCraft Multi-Agent Challenge Mikayel Samvelyan Tabish Rashid Christian Schroeder de Witt Gregory Farquhar Nantas Nardelli Tim G. J. Rudner Chia-Man Hung Philip Torr Jakob N. Foerster Shimon Whiteson 85 950 0 11 Feb 2019
QMIX: 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 131 1,669 0 30 Mar 2018
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation Yuhuai Wu Elman Mansimov Shun Liao Roger C. Grosse Jimmy Ba OffRL 52 626 0 17 Aug 2017
Lenient Multi-Agent Deep Reinforcement Learning Gregory Palmer K. Tuyls D. Bloembergen Rahul Savani 58 160 0 14 Jul 2017
Learning Multiagent Communication with Backpropagation Sainbayar Sukhbaatar Arthur Szlam Rob Fergus 202 1,144 0 25 May 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 189 8,833 0 04 Feb 2016
Dueling Network Architectures for Deep Reinforcement Learning Ziyun Wang Tom Schaul Matteo Hessel H. V. Hasselt Marc Lanctot Nando de Freitas OffRL 91 3,749 0 20 Nov 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 306 13,214 0 09 Sep 2015