High-performance implementations of several reinforcement learning algorithms and some commonly used benchmark problems (Matlab & C++)
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Updated
Oct 12, 2017 - MATLAB
High-performance implementations of several reinforcement learning algorithms and some commonly used benchmark problems (Matlab & C++)
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.
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