Kernel Density Bayesian Inverse Reinforcement Learning.
Aishwarya MandyamDidong LiDiana CaiAndrew JonesBarbara E. EngelhardtPublished in: CoRR (2023)
Keyphrases
- kernel density
- inverse reinforcement learning
- bayesian nonparametric
- mean shift
- partially observable environments
- hidden markov models
- preference elicitation
- reward function
- mixture model
- bayesian networks
- posterior distribution
- gaussian process
- bayesian inference
- decision theory
- variational inference
- learning algorithm
- generative model
- search algorithm
- decision making