2024
Bayesian Design Principles for Offline-to-Online Reinforcement Learning
ICML 2024poster
Offline reinforcement learning (RL) is crucial for real-world applications where exploration can be costly or unsafe. However, offline learned policies are often suboptimal, and further online fine-tuning is required. In this paper, we tackle the fundamental dilemma of offline-to-online fine-tuning:…