Outcome-Driven Reinforcement Learning via Variational Inference
Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?
Learning Invariant Representations for Reinforcement Learning without Reconstruction
Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning
Improving PILCO with Bayesian Neural Network Dynamics Models