Playing Card-Based RTS Games with Deep Reinforcement Learning.
Tianyu LiuZijie ZhengHongchang LiKaigui BianLingyang SongPublished in: IJCAI (2019)
Keyphrases
- reinforcement learning
- game playing
- computer games
- games played
- temporal difference learning
- foreign language learners
- game players
- imperfect information
- action sets
- learning agents
- online game
- board game
- function approximation
- two player games
- smart card
- game theory
- multi player
- perfect information
- card game
- optimal policy
- card games
- reinforcement learning algorithms
- video games
- evaluation function
- temporal difference
- game design
- computer poker
- human players
- general game playing
- game play
- game tree search
- state space
- low cost
- stochastic games
- reinforcement learning agents
- nash equilibria
- optimal control
- multi agent
- opponent modeling
- policy search
- role playing game
- machine learning
- educational games
- human computation
- reinforcement learning methods
- game tree
- model free
- solution concepts
- multiagent learning
- learning process
- dynamic programming
- learning classifier systems
- function approximators
- action space
- digital games
- game theoretic
- game based learning