Disentangling Controllable Object Through Video Prediction Improves Visual Reinforcement Learning

In many vision-based reinforcement learning (RL) problems, the agent controls a movable object in its visual field, e.g., the player?s avatar in video games and the robotic arm in visual grasping and manipulation. Leveraging action-conditioned video predi
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