Before revision: We propose Learning Off-Policy with Online Planning (LOOP) , an efficient reinforcement learning framework, combining the benefits of model-based local trajectory optimization and off-policy algorithms.
After revision: Reinforcement learning (RL) in low-data and off-policy algorithms.