Omar Rivasplata

Semi-pessimistic Reinforcement Learning

Offline reinforcement learning aims to learn an optimal policy from pre-collected data. However, it faces challenges of distributional shift, where the learned policy may encounter unseen scenarios not covered in the offline data. Additionally, numerous applications suffer from a...