camgap-dit-v-dit-w53-n500 is an open-source reinforcement learning policy model for robotics, designed for use with LeRobot and ML-Agents frameworks. It enables researchers and engineers to train, evaluate, and deploy robotic policies in simulation or real-world environments.
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