Deep Reinforcement Learning With Part-Aware Exploration Bonus in Video Games.
Pei XuQiyue YinJunge ZhangKaiqi HuangPublished in: IEEE Trans. Games (2022)
Keyphrases
- video games
- reinforcement learning
- active exploration
- exploration strategy
- action selection
- learning experience
- game play
- function approximation
- autonomous learning
- game playing
- educational games
- game design
- model based reinforcement learning
- computer games
- exploration exploitation tradeoff
- easy to follow
- game development
- commercial games
- game based learning
- model free
- markov decision processes
- learning process
- reinforcement learning algorithms
- multi agent
- state space
- learning algorithm
- computer supported collaboration
- playing games