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