Maximizing Information Gain in Partially Observable Environments via Prediction Reward.
Yash SatsangiSungsu LimShimon WhitesonFrans A. OliehoekMartha WhitePublished in: CoRR (2020)
Keyphrases
- information gain
- partially observable environments
- inverse reinforcement learning
- text categorization
- decision trees
- feature selection
- chi squared
- mutual information
- reinforcement learning algorithms
- partially observable
- reinforcement learning
- naive bayes
- correlation coefficient
- reward function
- cooperative games
- knn
- feature subset
- pairwise
- preference elicitation
- machine learning