IEEE

Autonomous Driving via Knowledge-Enhanced Safe Reinforcement Learning

Abstract: Recently, the autonomous driving technology is at a critical phase evolving from typical, closed scenarios to large-scale, open driving scenarios, which is challenged by the diversity and ...
IEEE

Trajectory Planning of Robotic Manipulator in Dynamic Environment Exploiting Deep Reinforcement Learning

Abstract: This study is about the implementation of a reinforcement learning algorithm in the trajectory planning of manipulators. We have a 7-DOF robotic arm to pick & place the randomly placed block ...
GitHub

verl: Volcano Engine Reinforcement Learning for LLMs

verl is a flexible, efficient and production-ready RL training library for large language models (LLMs). verl is the open-source version of HybridFlow: A Flexible and Efficient RLHF Framework paper.