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

4 code implementations • 21 May 2021 • Shengyi Huang, Santiago Ontañón, Chris Bamford, Lukasz Grela

In recent years, researchers have achieved great success in applying Deep Reinforcement Learning (DRL) algorithms to Real-time Strategy (RTS) games, creating strong autonomous agents that could defeat professional players in StarCraft~II.

reinforcement-learning Reinforcement Learning (RL) +2