research
∙
01/18/2023
Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization
Multi-objective reinforcement learning (MORL) algorithms tackle sequenti...
share
research
∙
06/22/2022
Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer
In many real-world applications, reinforcement learning (RL) agents migh...
research
∙
05/20/2021
Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection
Non-stationary environments are challenging for reinforcement learning a...
research
∙
04/09/2020