WARL: Wrench-Augmented Reinforcement Learning for Task-Agnostic Learning in Legged Robots

While reinforcement learning for legged robots has achieved high motor performance, it has been constrained by the limited exploration capability of actions confined to the joint space. To address this issue, this study proposes a new method, Wrench-Augmented Reinforcement Learning (WARL), which int...