Stepping Forward on the Last Mile

no code implementations • 6 Nov 2024 • Chen Feng, Shaojie Zhuo, Xiaopeng Zhang, Ramchalam Kinattinkara Ramakrishnan, Zhaocong Yuan, Andrew Zou Li

Our results demonstrate that on the last mile of model customization on edge devices, training with fixed-point forward gradients is a feasible and practical approach.

safe-control-gym: a Unified Benchmark Suite for Safe Learning-based Control and Reinforcement Learning in Robotics

4 code implementations • 13 Sep 2021 • Zhaocong Yuan, Adam W. Hall, SiQi Zhou, Lukas Brunke, Melissa Greeff, Jacopo Panerati, Angela P. Schoellig

In recent years, both reinforcement learning and learning-based control -- as well as the study of their safety, which is crucial for deployment in real-world robots -- have gained significant traction.

reinforcement-learning Reinforcement Learning +1

Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning

5 code implementations • 13 Aug 2021 • Lukas Brunke, Melissa Greeff, Adam W. Hall, Zhaocong Yuan, SiQi Zhou, Jacopo Panerati, Angela P. Schoellig

The last half-decade has seen a steep rise in the number of contributions on safe learning methods for real-world robotic deployments from both the control and reinforcement learning communities.

Decision Making reinforcement-learning +3