udacity/deep-reinforcement-learning
Udacity's Deep Reinforcement Learning Nanodegree program with Jupyter Notebook tutorials covering RL algorithms from Dynamic Programming to Deep Q-Networks.
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This repository hosts the curriculum for Udacity’s Deep Reinforcement Learning Nanodegree program, providing Jupyter Notebook tutorials that guide learners through implementing reinforcement learning algorithms. Content spans foundational methods like Dynamic Programming and Monte Carlo through modern deep RL techniques including DQN, DDPG, and PPO, all implemented in PyTorch with OpenAI Gym environments.
Frequently asked
- What is udacity/deep-reinforcement-learning?
- Udacity's Deep Reinforcement Learning Nanodegree program with Jupyter Notebook tutorials covering RL algorithms from Dynamic Programming to Deep Q-Networks.
- Is deep-reinforcement-learning open source?
- Yes — udacity/deep-reinforcement-learning is open source, released under the MIT license.
- What language is deep-reinforcement-learning written in?
- udacity/deep-reinforcement-learning is primarily written in Jupyter Notebook.
- How popular is deep-reinforcement-learning?
- udacity/deep-reinforcement-learning has 5.2k stars on GitHub.
- Where can I find deep-reinforcement-learning?
- udacity/deep-reinforcement-learning is on GitHub at https://github.com/udacity/deep-reinforcement-learning.