Bayesian Robust Optimization for Imitation Learning.
Daniel S. BrownScott NiekumMarek PetrikPublished in: CoRR (2020)
Keyphrases
- robust optimization
- imitation learning
- decision theory
- mathematical programming
- robotic systems
- reinforcement learning
- humanoid robot
- maximum margin
- lot sizing
- reinforcement learning methods
- posterior probability
- semidefinite programming
- bayesian networks
- utility function
- decision theoretic
- decision making
- dynamic programming
- maximum likelihood
- multistage
- artificial intelligence
- evolutionary algorithm