Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning.
Hiroki FurutaTatsuya MatsushimaTadashi KozunoYutaka MatsuoSergey LevineOfir NachumShixiang Shane GuPublished in: ICML (2021)
Keyphrases
- information theoretic
- information theory
- reinforcement learning
- mutual information
- jensen shannon divergence
- relative entropy
- kullback leibler divergence
- jensen shannon
- information theoretic measures
- theoretic framework
- kl divergence
- machine learning
- image processing
- bregman divergences
- information bottleneck
- log likelihood
- prior knowledge