APPL: Agent Priors-guided Policy Learning
An agentic robot learning framework connecting policy learning with agent-based skill selection and composition through structural priors.
Oscar Puming Jiang
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Guided Streaming Stochastic Interpolant Policy
A principled inference-time guidance framework for streaming generative robot policies, enabling fast, reactive obstacle avoidance within the action chunk.