- See Also
-
Links
- “SCC: an Efficient Deep Reinforcement Learning Agent Mastering the Game of StarCraft II”, Et Al 2020
- “TStarBot-X: An Open-Sourced and Comprehensive Study for Efficient League Training in StarCraft II Full Game”, Et Al 2020
- “TLeague: A Framework for Competitive Self-Play Based Distributed Multi-Agent Reinforcement Learning”, Et Al 2020
- “Grandmaster Level in StarCraft II Using Multi-agent Reinforcement Learning”, Et Al 2019
- “Human-level Performance in 3D Multiplayer Games With Population-based Reinforcement Learning”, Et Al 2019
- “Re-evaluating Evaluation”, Et Al 2018
- “Episodic Exploration for Deep Deterministic Policies: An Application to StarCraft Micromanagement Tasks”, Et Al 2016
- “Pointer Networks”, Et Al 2015
- “TLeague Project Page”
- “AlphaStar: Grandmaster Level in StarCraft II Using Multi-agent Reinforcement Learning”
- “AlphaStar: Mastering the Real-Time Strategy Game StarCraft II”
- Wikipedia
- Miscellaneous
- Link Bibliography
See Also
Links
“SCC: an Efficient Deep Reinforcement Learning Agent Mastering the Game of StarCraft II”, Et Al 2020
“SCC: an efficient deep reinforcement learning agent mastering the game of StarCraft II”, 2020-12-24 (similar)
“TStarBot-X: An Open-Sourced and Comprehensive Study for Efficient League Training in StarCraft II Full Game”, Et Al 2020
“TStarBot-X: An Open-Sourced and Comprehensive Study for Efficient League Training in StarCraft II Full Game”, 2020-11-27 ( ; similar; bibliography)
“TLeague: A Framework for Competitive Self-Play Based Distributed Multi-Agent Reinforcement Learning”, Et Al 2020
“TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement Learning”, 2020-11-25 ( ; similar; bibliography)
“Grandmaster Level in StarCraft II Using Multi-agent Reinforcement Learning”, Et Al 2019
“Grandmaster level in StarCraft II using multi-agent reinforcement learning”, 2019-10-30 ( ; similar; bibliography)
“Human-level Performance in 3D Multiplayer Games With Population-based Reinforcement Learning”, Et Al 2019
“Human-level performance in 3D multiplayer games with population-based reinforcement learning”, 2019-05-31 ( ; similar; bibliography)
“Re-evaluating Evaluation”, Et Al 2018
“Re-evaluating Evaluation”, 2018-06-07 ( ; similar)
“Episodic Exploration for Deep Deterministic Policies: An Application to StarCraft Micromanagement Tasks”, Et Al 2016
“Episodic Exploration for Deep Deterministic Policies: An Application to StarCraft Micromanagement Tasks”, 2016-09-10 (similar)
“Pointer Networks”, Et Al 2015
“Pointer Networks”, 2015-06-09 ( ; backlinks; similar)
“TLeague Project Page”
“AlphaStar: Grandmaster Level in StarCraft II Using Multi-agent Reinforcement Learning”
“AlphaStar: Mastering the Real-Time Strategy Game StarCraft II”
Wikipedia
Miscellaneous
Link Bibliography
-
https://arxiv.org/abs/2011.13729#tencent
: “TStarBot-X: An Open-Sourced and Comprehensive Study for Efficient League Training in StarCraft II Full Game”, : -
https://arxiv.org/abs/2011.12895#tencent
: “TLeague: A Framework for Competitive Self-Play Based Distributed Multi-Agent Reinforcement Learning”, Peng Sun, Jiechao Xiong, Lei Han, Xinghai Sun, Shuxing Li, Jiawei Xu, Meng Fang, Zhengyou Zhang: -
2019-vinyals.pdf#deepmind
: “Grandmaster Level in StarCraft II Using Multi-agent Reinforcement Learning”, : -
2019-jaderberg.pdf#deepmind
: “Human-level Performance in 3D Multiplayer Games With Population-based Reinforcement Learning”, :