DeepWalk: Omnidirectional Bipedal Gait by Deep Reinforcement Learning
Diego Rodriguez Sven Behnke Diego Rodriguez Sven Behnke
Bipedal walking is one of the most difficult but exciting challenges in robotics. The difficulties arise from the complexity of high-dimensional dynamics, sensing and actuation limitations combined with real-time and computational constraints. Deep Reinforcement Learning (DRL) holds the promise to address these issues by fully exploiting the robot dynamics with minimal craftsmanship. In this paper...