Object-Oriented State Abstraction in Reinforcement Learning for Video Games.
Yu ChenHuizhuo YuanYujun LiPublished in: CoG (2019)
Keyphrases
- state abstraction
- video games
- reinforcement learning
- object oriented
- state space
- reinforcement learning agents
- learning experience
- hierarchical reinforcement learning
- markov decision processes
- path finding
- educational games
- game play
- reinforcement learning algorithms
- initial state
- function approximation
- game design
- optimal policy
- dynamic programming
- computer games
- machine learning
- learning process
- commercial games
- game playing
- serious games
- learning outcomes
- learning algorithm
- partially observable
- learning styles
- collaborative learning
- multi agent
- e learning