Maximum Entropy Inverse Reinforcement Learning for Mean Field Games.
Yang ChenJiamou LiuBakhadyr KhoussainovPublished in: CoRR (2021)
Keyphrases
- maximum entropy
- inverse reinforcement learning
- maximum entropy principle
- preference elicitation
- reward function
- markov models
- markov random field
- conditional random fields
- game theory
- belief networks
- closed form
- markov networks
- nash equilibrium
- utility function
- em algorithm
- reinforcement learning
- hidden markov models
- temporal difference
- markov decision processes
- machine learning