17 citations
1 paper
Alexis Duburcq, Fabian Schramm, Guilhem Boéris +2
State-of-the-art reinforcement learning is now able to learn versatile locomotion, balancing and push-recovery capabilities for bipedal robots in simulation. Yet, the reality gap h…