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StarCraft Micromanagement with Reinforcement Learning and Curriculum
  Transfer Learning

StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer Learning

3 April 2018
Kun Shao
Yuanheng Zhu
Dongbin Zhao
ArXivPDFHTML

Papers citing "StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer Learning"

19 / 19 papers shown
Title
Similarity-based Knowledge Transfer for Cross-Domain Reinforcement
  Learning
Similarity-based Knowledge Transfer for Cross-Domain Reinforcement Learning
Sergio A. Serrano
J. Martínez-Carranza
L. Sucar
28
2
0
05 Dec 2023
All by Myself: Learning Individualized Competitive Behaviour with a
  Contrastive Reinforcement Learning optimization
All by Myself: Learning Individualized Competitive Behaviour with a Contrastive Reinforcement Learning optimization
Pablo V. A. Barros
A. Sciutti
SSL
25
3
0
02 Oct 2023
NeuronsGym: A Hybrid Framework and Benchmark for Robot Tasks with
  Sim2Real Policy Learning
NeuronsGym: A Hybrid Framework and Benchmark for Robot Tasks with Sim2Real Policy Learning
Haoran Li
Shasha Liu
Mingjun Ma
Guangzheng Hu
Yaran Chen
Dong Zhao
24
3
0
07 Feb 2023
Teacher-student curriculum learning for reinforcement learning
Teacher-student curriculum learning for reinforcement learning
Yanick Schraner
OffRL
23
2
0
31 Oct 2022
Asynchronous Curriculum Experience Replay: A Deep Reinforcement Learning
  Approach for UAV Autonomous Motion Control in Unknown Dynamic Environments
Asynchronous Curriculum Experience Replay: A Deep Reinforcement Learning Approach for UAV Autonomous Motion Control in Unknown Dynamic Environments
Zijian Hu
Xiao-guang Gao
Kaifang Wan
Qianglong Wang
Yiwei Zhai
34
10
0
04 Jul 2022
NVIF: Neighboring Variational Information Flow for Large-Scale
  Cooperative Multi-Agent Scenarios
NVIF: Neighboring Variational Information Flow for Large-Scale Cooperative Multi-Agent Scenarios
Jiajun Chai
Yuanheng Zhu
Dongbin Zhao
24
0
0
03 Jul 2022
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
30
43
0
28 Mar 2022
Transfer Dynamics in Emergent Evolutionary Curricula
Transfer Dynamics in Emergent Evolutionary Curricula
Aaron Dharna
Amy K. Hoover
Julian Togelius
Lisa Soros
27
6
0
03 Mar 2022
Multi-task Safe Reinforcement Learning for Navigating Intersections in
  Dense Traffic
Multi-task Safe Reinforcement Learning for Navigating Intersections in Dense Traffic
Yuqi Liu
Qichao Zhang
Dongbin Zhao
28
14
0
19 Feb 2022
Active Reinforcement Learning over MDPs
Qi Yang
Peng Yang
K. Tang
33
0
0
05 Aug 2021
Improved Reinforcement Learning in Cooperative Multi-agent Environments
  Using Knowledge Transfer
Improved Reinforcement Learning in Cooperative Multi-agent Environments Using Knowledge Transfer
Mahnoosh Mahdavimoghadam
Amin Nikanjam
M. Abdoos
17
5
0
20 Jul 2021
UPDeT: Universal Multi-agent Reinforcement Learning via Policy
  Decoupling with Transformers
UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers
Siyi Hu
Fengda Zhu
Xiaojun Chang
Xiaodan Liang
OffRL
29
71
0
20 Jan 2021
Enhanced Rolling Horizon Evolution Algorithm with Opponent Model
  Learning: Results for the Fighting Game AI Competition
Enhanced Rolling Horizon Evolution Algorithm with Opponent Model Learning: Results for the Fighting Game AI Competition
Zhentao Tang
Yuanheng Zhu
Dongbin Zhao
Simon Lucas
19
28
0
31 Mar 2020
Curriculum Learning for Reinforcement Learning Domains: A Framework and
  Survey
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey
Sanmit Narvekar
Bei Peng
Matteo Leonetti
Jivko Sinapov
Matthew E. Taylor
Peter Stone
ODL
149
458
0
10 Mar 2020
A Survey of Deep Reinforcement Learning in Video Games
A Survey of Deep Reinforcement Learning in Video Games
Kun Shao
Zhentao Tang
Yuanheng Zhu
Nannan Li
Dongbin Zhao
OffRL
AI4TS
34
188
0
23 Dec 2019
Response to NITRD, NCO, NSF Request for Information on "Update to the
  2016 National Artificial Intelligence Research and Development Strategic
  Plan"
Response to NITRD, NCO, NSF Request for Information on "Update to the 2016 National Artificial Intelligence Research and Development Strategic Plan"
J. Amundson
J. Annis
Camille Avestruz
D. Bowring
J. Caldeira
...
N. Tran
S. Trivedi
L. Trouille
W. L. K. Wu
C. Bom
15
11
0
05 Nov 2019
Curriculum Learning for Cumulative Return Maximization
Curriculum Learning for Cumulative Return Maximization
Francesco Foglino
Christiano Coletto Christakou
Ricardo Luna Gutierrez
Matteo Leonetti
24
9
0
13 Jun 2019
Efficient Reinforcement Learning for StarCraft by Abstract Forward
  Models and Transfer Learning
Efficient Reinforcement Learning for StarCraft by Abstract Forward Models and Transfer Learning
Ruo-Ze Liu
Haifeng Guo
Xiaozhong Ji
Yang Yu
Zhen-Jia Pang
Zitai Xiao
Yuzhou Wu
Tong Lu
OffRL
14
13
0
02 Mar 2019
The StarCraft Multi-Agent Challenge
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 H. S. Torr
Jakob N. Foerster
Shimon Whiteson
33
930
0
11 Feb 2019
1