UPDeT: Universal Multi-agent Reinforcement Learning via Policy
Decoupling with Transformers

UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers

20 January 2021

Xiaojun Chang

Xiaodan Liang

Papers citing "UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers"

9 / 9 papers shown

Title
Variational Offline Multi-agent Skill Discovery Jiayu Chen Bhargav Ganguly Tian-Shing Lan OffRL 61 1 0 26 May 2024
Inverse Design of Photonic Crystal Surface Emitting Lasers is a Sequence Modeling Problem Ceyao Zhang Renjie Li Cheng Zhang Zhaoyu Zhang Feng Yin 29 0 0 08 Mar 2024
Multi-Agent Reinforcement Learning is a Sequence Modeling Problem Muning Wen J. Kuba Runji Lin Weinan Zhang Ying Wen J. Wang Yaodong Yang 26 177 0 30 May 2022
Attention Mechanism in Neural Networks: Where it Comes and Where it Goes Derya Soydaner 3DV 36 149 0 27 Apr 2022
Multi-Agent Policy Transfer via Task Relationship Modeling Rongjun Qin F. Chen Tonghan Wang Lei Yuan Xiaoran Wu Zongzhang Zhang Chongjie Zhang Yang Yu 24 19 0 09 Mar 2022
Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Tackles All SMAC Tasks Linghui Meng Muning Wen Yaodong Yang Chenyang Le Xiyun Li Weinan Zhang Ying Wen Haifeng Zhang Jun Wang Bo Xu OffRL 21 38 0 06 Dec 2021
MAVEN: Multi-Agent Variational Exploration Anuj Mahajan Tabish Rashid Mikayel Samvelyan Shimon Whiteson DRL 133 355 0 16 Oct 2019
StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer Learning Kun Shao Yuanheng Zhu Dongbin Zhao 98 169 0 03 Apr 2018
A Decomposable Attention Model for Natural Language Inference Ankur P. Parikh Oscar Täckström Dipanjan Das Jakob Uszkoreit 196 1,367 0 06 Jun 2016