Drone Flight Controller
Key Takeaways
Implements Deep Deterministic Policy Gradient reinforcement learning for drone navigation
Original Description
Drones are being used in real world applications around the world! They can help detect anomalies in crop yields, provide companies with physical assets a real-time continuous data stream, and help secure locations by giving teams an aerial view. We'll learn how a dron can learn to navigate a novel, complex environment using an advanced reinforcement learning technique called Deep Deterministic Policy Gradients. Its a mixture of policy gradients and actor critic, I'll go through the dependencies before explaining the real algorithm. Enjoy!
Code for this video:
https://github.com/llSourcell/Drone_Flight_Controller
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This video is apart of Move 37, my course at
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https://theschool.ai/
Drone 3D Environment:
https://rds.theconstructsim.com/signup/
More learning resources:
https://pemami4911.github.io/blog/2016/08/21/ddpg-rl.html
https://towardsdatascience.com/introduction-to-various-reinforcement-learning-algorithms-i-q-learning-sarsa-dqn-ddpg-72a5e0cb6287
https://coach.nervanasys.com/algorithms/policy_optimization/ddpg/index.html
https://towardsdatascience.com/policy-gradients-in-a-nutshell-8b72f9743c5d
https://deepmind.com/research/publications/deterministic-policy-gradient-algorithms/
https://medium.com/@kinwo/solving-continuous-control-environment-using-deep-deterministic-policy-gradient-ddpg-agent-5e94f82f366d
https://medium.freecodecamp.org/an-introduction-to-policy-gradients-with-cartpole-and-doom-495b5ef2207f
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