2025
Fast Autolearning for Multimodal Walking in Humanoid Robots With Variability of Experience
RA-L 2025
Recent advancements in reinforcement learning (RL) and humanoid robotics are rapidly addressing the challenge of adapting to complex, dynamic environments in real time. This letter introduces a novel approach that integrates two key concepts: experience variability (a criterion for detecting changes