Shypd.aiThe largest open index of AI toolsdeep-reinforcement-learning is an open-source repository that provides materials for Udacity's Deep Reinforcement Learning Nanodegree program. It includes tutorials and projects for implementing various RL algorithms using PyTorch.
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The deep-reinforcement-learning repository serves as a comprehensive resource for Udacity's Deep Reinforcement Learning Nanodegree program. It offers a collection of tutorials that guide users through the implementation of various reinforcement learning algorithms, including Dynamic Programming, Monte Carlo, Temporal-Difference, Deep Q-Networks, and Deep Deterministic Policy Gradients, all utilizing PyTorch. Additionally, the repository features labs and projects that leverage rich simulation environments from Unity ML-Agents, allowing users to train agents in tasks like navigation, continuous control, and collaborative competition. It also includes benchmarks for classic control and Box2d environments, along with detailed setup instructions for the Python environment.
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