Tree Learning uses root-branch parameter inheritance and multi-modal adaptation to enable continual multi-skill learning in humanoid robots, achieving higher rewards and 100% retention versus joint training in Unity simulations.
Moe-loco: Mixture of experts for multitask locomotion, in: 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp
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Tree Learning: A Multi-Skill Continual Learning Framework for Humanoid Robots
Tree Learning uses root-branch parameter inheritance and multi-modal adaptation to enable continual multi-skill learning in humanoid robots, achieving higher rewards and 100% retention versus joint training in Unity simulations.