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