Individual-Level Inverse Reinforcement Learning for Mean Field Games.
Yang ChenLibo ZhangJiamou LiuShuyue HuPublished in: CoRR (2022)
Keyphrases
- individual level
- inverse reinforcement learning
- bayesian nonparametric
- partially observable environments
- preference elicitation
- group level
- markov random field
- belief networks
- reward function
- variational inference
- bayesian inference
- closed form
- game theory
- nash equilibria
- posterior distribution
- cooperative games
- temporal difference
- stochastic games
- monte carlo
- em algorithm
- social networks