Rapidly Adapting Policies to the Real-World via Simulation-Guided Fine-Tuning- efficient RL algorithm to improve rollout performance#ICLR2025 #RL #sim2real #refinementX Overview, Project Website

Rapidly Adapting Policies to the Real-World via Simulation-Guided Fine-Tuning

- efficient RL algorithm to improve rollout performance

#ICLR2025 #RL #sim2real #refinement

X Overview, Project Website

Current RL finetuning methods are too inefficient to make autonomous real world robot learning tractable. We propose Simulation-Guided Fine-Tuning (SGFT) - a simple, general sim2real framework that extracts structured exploration priors from sim to accelerate…