FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing

no code implementations • 19 Apr 2023 • Kyle Stachowicz, Dhruv Shah, Arjun Bhorkar, Ilya Kostrikov, Sergey Levine

We present a system that enables an autonomous small-scale RC car to drive aggressively from visual observations using reinforcement learning (RL).

Reinforcement Learning (RL)

Offline Reinforcement Learning for Visual Navigation

1 code implementation • 16 Dec 2022 • Dhruv Shah, Arjun Bhorkar, Hrish Leen, Ilya Kostrikov, Nick Rhinehart, Sergey Levine

Reinforcement learning can enable robots to navigate to distant goals while optimizing user-specified reward functions, including preferences for following lanes, staying on paved paths, or avoiding freshly mowed grass.

Navigate Offline RL +3

GNM: A General Navigation Model to Drive Any Robot

1 code implementation • 7 Oct 2022 • Dhruv Shah, Ajay Sridhar, Arjun Bhorkar, Noriaki Hirose, Sergey Levine

Learning provides a powerful tool for vision-based navigation, but the capabilities of learning-based policies are constrained by limited training data.