This paper proposes a simple strategy for sim-to-real in Deep-Reinforcem...
Robotic locomotion is often approached with the goal of maximizing robus...
Training deep reinforcement learning (DRL) locomotion policies often req...
Quadruped locomotion is rapidly maturing to a degree where robots now
ro...
Quadruped locomotion is rapidly maturing to a degree where robots now
ro...
Central Pattern Generators (CPGs) have several properties desirable for
...
We present a unified model-based and data-driven approach for quadrupeda...
Deep reinforcement learning (RL) uses model-free techniques to optimize
...