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Gym-$μ$RTS: Toward Affordable Full Game Real-time Strategy Games
  Research with Deep Reinforcement Learning

Gym-μμμRTS: Toward Affordable Full Game Real-time Strategy Games Research with Deep Reinforcement Learning

21 May 2021
Sheng-Jun Huang
Santiago Ontañón
Chris Bamford
Lukasz Grela
    OffRL
ArXivPDFHTML

Papers citing "Gym-$μ$RTS: Toward Affordable Full Game Real-time Strategy Games Research with Deep Reinforcement Learning"

5 / 5 papers shown
Title
Reducing Action Space for Deep Reinforcement Learning via Causal Effect Estimation
Reducing Action Space for Deep Reinforcement Learning via Causal Effect Estimation
Wenzhang Liu
Lianjun Jin
Lu Ren
Chaoxu Mu
Changyin Sun
CML
55
0
0
24 Jan 2025
GPT for Games: An Updated Scoping Review (2020-2024)
GPT for Games: An Updated Scoping Review (2020-2024)
Daijin Yang
Erica Kleinman
Casper Harteveld
LLMAG
AI4TS
AI4CE
54
3
0
01 Nov 2024
Centralized control for multi-agent RL in a complex Real-Time-Strategy
  game
Centralized control for multi-agent RL in a complex Real-Time-Strategy game
Roger Creus Castanyer
21
2
0
25 Apr 2023
Joint action loss for proximal policy optimization
Joint action loss for proximal policy optimization
Xiulei Song
Yi-Fan Jin
Greg Slabaugh
Simon Lucas
21
0
0
26 Jan 2023
CleanRL: High-quality Single-file Implementations of Deep Reinforcement
  Learning Algorithms
CleanRL: High-quality Single-file Implementations of Deep Reinforcement Learning Algorithms
Shengyi Huang
Rousslan Fernand Julien Dossa
Chang Ye
Jeff Braga
OffRL
16
0
0
16 Nov 2021
1