curriculum RL

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intrinsic reward

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outcome-directed RL

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Autonomous RL

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Non-episodic RL

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autonomous RL

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non-episodic

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unsupervised RL

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skill discovery

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transfer learning

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offline RL

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image synthesis

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data augmentation

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Vector Quantized-VAE

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Action-free data

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Temporal representation

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Plasticity

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Hybrid action space

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Temporal action representation

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Multi-Task RL

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Exploration

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Skill

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Imitation Learning

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Vision-Language

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3D representation

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Neural Radiance Field

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Single-View Inference

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Skill Discovery

[NeurIPS 2025] Periodic Skill Discovery

Abstract: Unsupervised skill discovery in reinforcement learning (RL) aims to learn diverse behaviors without relying on external rewards. However, current methods often overlook the periodic nature of learned skills, focusing instead on increasing the mutual dependency between states and skills ...

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Unsupervised RL

[NeurIPS 2025] Periodic Skill Discovery

Abstract: Unsupervised skill discovery in reinforcement learning (RL) aims to learn diverse behaviors without relying on external rewards. However, current methods often overlook the periodic nature of learned skills, focusing instead on increasing the mutual dependency between states and skills ...

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