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policy-paced learning
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WorldSample: Closed-loop Real-robot RL with World Modelling
The paper presents WorldSample, a framework that uses reinforcement learning (RL) to improve the performance of robots by creating synthetic transitions based on real rollouts and a post-trained world model. This…
