Maximum Entropy-Regularized Multi-Goal Reinforcement Learning.
Rui ZhaoXudong SunVolker TrespPublished in: ICML (2019)
Keyphrases
- maximum entropy
- reinforcement learning
- maximum entropy principle
- bregman divergences
- markov models
- probabilistic logic
- principle of maximum entropy
- conditional random fields
- random fields
- class conditional
- transformation based learning
- minimum cross entropy
- optimal policy
- learning algorithm
- maximum entropy model
- potential functions
- iterative scaling
- nearest neighbor
- state space
- feature selection