Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow.
Chen-Hao ChaoChien FengWei-Fang SunCheng-Kuang LeeSimon SeeChun-Yi LeePublished in: CoRR (2024)
Keyphrases
- maximum entropy
- reinforcement learning
- potential functions
- maximum entropy principle
- markov models
- probabilistic logic
- random fields
- maximum entropy model
- transformation based learning
- markov decision processes
- minimum cross entropy
- machine learning
- conditional random fields
- optimal policy
- class conditional
- supervised learning
- state space
- iterative scaling
- principle of maximum entropy
- learning algorithm
- active learning