brianwade1/actor_critic_quadcopter

Advantage Actor-Critic (A2C) reinforcement learning agent used to control the motor speeds on a quadcopter in order to keep the quadcopter in a stable hover following a random angular acceleration perturbation between 0-3 degrees per second in each of the control axes: pitch, roll, and yaw.

语言：MATLAB · GitHub 星标：27 · Fork：3

话题：actor-critic · machine-learning · physics-simulation · quadcopter · reinforcement-learning

在 GitHub 上查看原仓库