2024
Reward-Free Kernel-Based Reinforcement Learning
ICML 2024poster
Achieving sample efficiency in Reinforcement Learning (RL) is primarily hinged on the efficient exploration of the underlying environment, but it is still unknown what are the best exploration strategies in different settings. We consider the *reward-free* RL problem, which operates in two phases: a…