Deep Reinforcement Learning for Playing 2.5D Fighting Games.
Yu-Jhe LiHsin-Yu ChangYu-Jing LinPo-Wei WuYu-Chiang Frank WangPublished in: ICIP (2018)
Keyphrases
- reinforcement learning
- game playing
- computer games
- games played
- foreign language learners
- temporal difference learning
- online game
- action sets
- imperfect information
- learning agents
- game players
- board game
- card games
- card game
- function approximation
- video games
- multi player
- game design
- optimal policy
- game play
- perfect information
- stochastic games
- game tree search
- robotic control
- reinforcement learning agents
- serious games
- computer poker
- digital games
- human players
- opponent modeling
- two player games
- game theory
- state space
- reinforcement learning algorithms
- action selection
- model free
- supervised learning
- educational games
- markov decision processes
- monte carlo tree search
- general game playing
- deep learning
- game based learning
- temporal difference
- learning algorithm