Gym-µRTS: Toward Affordable Full Game Real-time Strategy Games Research with Deep Reinforcement Learning.
Shengyi HuangSantiago OntañónChris BamfordLukasz GrelaPublished in: CoG (2021)
Keyphrases
- real time strategy games
- reinforcement learning
- multi agent
- case based planning
- imperfect information
- function approximation
- reinforcement learning algorithms
- markov decision processes
- state space
- machine learning
- multi agent systems
- learning process
- learning algorithm
- dynamic programming
- upper bound
- optimal policy
- search space
- temporal difference
- lower bound
- artificial intelligence