Media Summary: From 35 raw RRT* waypoints down to 3 after shortcutting, then a time-optimal 2.659-second trajectory executed with 0.0037 rad ... This video presents a comprehensive benchmark comparison of multiple Deep Reinforcement Learning algorithms on the ... 5500+ average reward TD3 policy trained for 7M+ timesteps. Check here for github repo: ...
Mujoco Robotics Lab 4 Motion - Detailed Analysis & Overview
From 35 raw RRT* waypoints down to 3 after shortcutting, then a time-optimal 2.659-second trajectory executed with 0.0037 rad ... This video presents a comprehensive benchmark comparison of multiple Deep Reinforcement Learning algorithms on the ... 5500+ average reward TD3 policy trained for 7M+ timesteps. Check here for github repo: ... RL based 3D End Effector Tracking with SAC Policy in a Frank FR3
