Bayesian Robust Optimization for Imitation Learning.
Daniel S. BrownScott NiekumMarek PetrikPublished in: NeurIPS (2020)
Keyphrases
- robust optimization
- imitation learning
- decision theory
- mathematical programming
- reinforcement learning
- humanoid robot
- robotic systems
- maximum margin
- bayesian networks
- lot sizing
- bayesian inference
- posterior probability
- multi modal
- maximum likelihood
- semidefinite programming
- learning problems
- vision system
- training data