udacity/deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

Jupyter NotebookPythonTeXreinforcement-learningdeep-reinforcement-learningopenai-gympytorchdqnneural-networksreinforcement-learning-algorithmsdynamic-programminghill-climbingddpgcross-entropyopenai-gym-solutionspytorch-rlppoml-agentsrl-algorithms
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Deep Reinforcement Learning Nanodegree This repository contains material related to Udacity's Deep Reinforcement Learning Nanodegree program. Table of Contents Tutorials The tutorials lead you through implementing various algorithms in reinforcement learning. All of the code is in PyTorch (v0.4) and Python 3. Dynamic Programming: Implement Dynamic Programming algorithms such as Policy Evaluation, Policy Improvement, Policy Iteration, and Value Iteration. Monte Carlo: Implement Monte Carlo methods...
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