New publications

We have two new workshop papers tackling AutoRL accepted at MetaLearn@NeurIPS’22:

• AutoRL-Bench 1.0 introduces a tabular benchmark that enables very fast, fair, and reproducible experimental protocols for comparing future HPO methods for RL.
  
• Gray-Box Gaussian Processes for Automated Reinforcement Learning introduces a novel gray-box Bayesian Optimization technique for HPO in RL.