Safety

Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning

Jan 1, 1010
Conservative Offline Distributional Reinforcement Learning

Aug 1, 1010
Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings

How to train RL agents safely? We propose to pretrain a model-based agent in a mix of sandbox environments, then plan pessimistically when finetuning in the target environment.

Jun 1, 1010