Deep RL Agent for a Real-Time Action Strategy Game.
Michal WarchalskiDimitrije RadojevicMilos MilosevicPublished in: CoRR (2020)
Keyphrases
- real time
- action selection
- agent learns
- reinforcement learning
- multi agent
- state action
- exploration strategy
- joint action
- real time strategy games
- extensive form games
- action space
- multi agent systems
- practical reasoning
- game theory
- decision making
- autonomous agents
- stochastic games
- learning agents
- partially observable domains
- optimal strategy
- autonomous learning
- opponent modeling
- action selection mechanism
- human users
- learning agent
- partial observations
- minority game
- multiagent reinforcement learning
- rational agents
- multiagent systems
- state space
- mobile robot
- general game playing
- two player games
- learning algorithm
- stackelberg game
- multiple agents
- game playing
- game play
- mobile agents
- intelligent agents
- cooperative
- single agent
- learning capabilities
- reinforcement learning algorithms
- role playing
- game theoretic
- reinforcement learning agents
- educational games
- reward shaping
- evaluation function
- action recognition