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Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence
  Model Tackles All SMAC Tasks

Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Tackles All SMAC Tasks

6 December 2021
Linghui Meng
Muning Wen
Yaodong Yang
Chenyang Le
Xiyun Li
Weinan Zhang
Ying Wen
Haifeng Zhang
Jun Wang
Bo Xu
    OffRL
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Papers citing "Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Tackles All SMAC Tasks"

11 / 11 papers shown
Title
MADiff: Offline Multi-agent Learning with Diffusion Models
MADiff: Offline Multi-agent Learning with Diffusion Models
Zhengbang Zhu
Minghuan Liu
Liyuan Mao
Bingyi Kang
Minkai Xu
Yong Yu
Stefano Ermon
Weinan Zhang
DiffM
OffRL
78
33
0
03 Jan 2025
MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale
MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale
Anton Andreychuk
Konstantin Yakovlev
Aleksandr I. Panov
A. Skrynnik
AI4CE
65
3
0
29 Aug 2024
Variational Offline Multi-agent Skill Discovery
Variational Offline Multi-agent Skill Discovery
Jiayu Chen
Bhargav Ganguly
Tian-Shing Lan
OffRL
61
1
0
26 May 2024
CtRL-Sim: Reactive and Controllable Driving Agents with Offline
  Reinforcement Learning
CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning
Luke Rowe
Roger Girgis
Anthony Gosselin
Bruno Carrez
Florian Golemo
Felix Heide
Liam Paull
Christopher Pal
38
4
0
29 Mar 2024
Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for
  Industrial Insertion of Novel Connectors from Vision
Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for Industrial Insertion of Novel Connectors from Vision
Ashvin Nair
Brian Zhu
Gokul Narayanan
Eugen Solowjow
Sergey Levine
OffRL
OnRL
21
14
0
27 Oct 2022
GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement
  Learning
GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning
Jingqing Ruan
Yali Du
Xuantang Xiong
Dengpeng Xing
Xiyun Li
Linghui Meng
Haifeng Zhang
Jun Wang
Bo Xu
25
29
0
17 Jan 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
260
7,434
0
11 Nov 2021
Multi-Agent Constrained Policy Optimisation
Multi-Agent Constrained Policy Optimisation
Shangding Gu
J. Kuba
Munning Wen
Ruiqing Chen
Ziyan Wang
Zheng Tian
Jun Wang
Alois Knoll
Yaodong Yang
91
49
0
06 Oct 2021
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for
  Autonomous Driving
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Ming Zhou
Jun-Jie Luo
Julian Villela
Yaodong Yang
David Rusu
...
H. Ammar
Hongbo Zhang
Wulong Liu
Jianye Hao
Jun Wang
134
193
0
19 Oct 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
329
1,949
0
04 May 2020
Bi-level Actor-Critic for Multi-agent Coordination
Bi-level Actor-Critic for Multi-agent Coordination
Haifeng Zhang
Weizhe Chen
Zeren Huang
Minne Li
Yaodong Yang
Weinan Zhang
Jun Wang
96
91
0
08 Sep 2019
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