FIELD NOTES TOPIC
offline-to-online reinforcement learning
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Active Offline-to-Online Reinforcement Learning
Researchers propose an active policy selection method for fine-tuning in offline-to-online reinforcement learning (O2O-RL) settings, where the goal is to allocate a limited online interaction budget effectively among…
