Conquer is a retrieve-adapt-update semantic skill-library framework with a SAG backbone for continual multi-quadruped coordination, reporting 95.6% average success in simulations and real-world validation.
Stable continual reinforcement learning via diffusion-based trajectory replay.arXiv preprint arXiv:2411.10809, 2024
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Continual Quadruped Robots Coordination via Semantic Skill Discovery
Conquer is a retrieve-adapt-update semantic skill-library framework with a SAG backbone for continual multi-quadruped coordination, reporting 95.6% average success in simulations and real-world validation.