2026
Toward Reliable Sim-to-Real Predictability for MoE-based Robust Quadrupedal Locomotion
RSS 2026poster
Reinforcement learning has shown strong promise for quadrupedal agile locomotion, even with proprioception-only sensing. In practice, however, sim-to-real gap and reward overfitting in complex terrains can produce policies that fail to transfer, while physical validation remains risky and inefficien…