Gang Xia

A Safety-Adjusted Policy Optimization Algorithm and Application for Obstacle Avoidance in the Quadcopter

Ensuring the safety of various real-world applications based on reinforcement learning (RL), such as quadcopter control, robotic manipulators, and autonomous robots, remains a critical challenge, despite RL’s remarkable success in solving complex decision-making tasks. Existing on-policy Lagrangian