I study Reinforcement Learning for Embodied AI. See https://yhqpkueecs.github.io/
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Peking University
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BeingBeyond/DemoGrasp
BeingBeyond/DemoGrasp PublicDemoGrasp: Universal Dexterous Grasping from a Single Demonstration (ICLR 2026)
Python 41
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PKU-RL/CrossDex
PKU-RL/CrossDex Public[ICLR 2025] Cross-Embodiment Dexterous Grasping with Reinforcement Learning
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BeingBeyond/Being-0
BeingBeyond/Being-0 PublicBeing-0: A Humanoid Robotic Agent with Vision-Language Models and Modular Skills
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PKU-RL/PTGM
PKU-RL/PTGM Public[ICLR 2024 oral] Pre-Training Goal-based Models for Sample-Efficient Reinforcement Learning
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PKU-RL/Plan4MC
PKU-RL/Plan4MC Public[NeurIPS 2023 FMDM Workshop] Skill Reinforcement Learning and Planning for Open-World Long-Horizon Tasks
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PKU-RL/CORRO
PKU-RL/CORRO Public[ICML 2022] Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning
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