Reinforcement Learning of Intelligent Characters in Fighting Action Games.
Byeong Heon ChoSung Hoon JungKwang-Hyun ShimYeong Rak SeongHa Ryoung OhPublished in: ICEC (2006)
Keyphrases
- reinforcement learning
- action sets
- action selection
- state action
- learning agents
- partially observable domains
- action space
- extensive form games
- function approximation
- learning capabilities
- intelligent systems
- markov decision processes
- reward shaping
- game theory
- state space
- reinforcement learning agents
- evaluation function
- transition model
- fitted q iteration
- model free
- game theoretic
- video games
- optimal control
- machine learning
- multi agent
- human actions
- imperfect information
- educational games
- nash equilibria
- partially observable
- reinforcement learning algorithms
- policy iteration
- game tree
- online game
- nash equilibrium
- coalitional games
- multiagent learning
- game play
- computer games
- decision problems
- multiagent systems
- game playing
- learning algorithm