erickTornero / Control-Quadrotor-RL

Implementation of Paper <<Intelligent control of a Quadrotor with PPO RL>> by G. Cano

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Implementation of the paper proposed by G. Cano:

  • Intelligent Control of a quadrotor with Proximal Policy Optimization Reinforcement Learning

Requirements:

  • V-REP
  • hill-a/stable-baselines: PPO2

Training in Episode 6000

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Implementation of Paper <<Intelligent control of a Quadrotor with PPO RL>> by G. Cano

License:MIT License


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Language:Python 100.0%