Unsupervised skill discovery approach using automatically generated tasks and asymmetric self-play to learn composable robotic manipulation behaviors.
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Multi-critic actor-critic approach that combines multiple reward functions to discover safe, useful robotic manipulation skills.
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Safe skill discovery approach for robotic manipulation combining reinforcement learning with safety constraints.
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Novel training approach using reachable manifold and inverse mapping for improved robotic manipulation.
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