“Recall to Imagine (R2I): A New Machine Learning Approach” is an innovative method that uses state space models to improve long-term memory and decision-making in Model-Based Reinforcement Learning (MBRL). This approach has shown exceptional performance in memory-intensive tasks and general RL environments, outperforming other methods and demonstrating fast convergence.
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