Linking pages
- Reinforcement Learning from scratch | by Emmanuel Ameisen | Insight https://blog.insightdatascience.com/reinforcement-learning-from-scratch-819b65f074d8 25 comments
- GitHub - nileshsah/reinforcement-learning-flappybird: In-browser reinforcement learning for flappy bird 🐦 https://github.com/nileshsah/reinforcement-learning-flappybird 1 comment
- Best Reinforcement Learning Tutorials, Examples, Projects, and Courses - neptune.ai https://neptune.ai/blog/best-reinforcement-learning-tutorials-examples-projects-and-courses 0 comments
- Making Sense of the Bias / Variance Trade-off in (Deep) Reinforcement Learning | by Arthur Juliani | ML Review https://medium.com/mlreview/making-sense-of-the-bias-variance-trade-off-in-deep-reinforcement-learning-79cf1e83d565 0 comments
- Contextual Bandits and Reinforcement Learning | by Pavel Surmenok | Towards Data Science https://medium.com/@surmenok/contextual-bandits-and-reinforcement-learning-6bdfeaece72a 0 comments
- GitHub - adeshpande3/Machine-Learning-Links-And-Lessons-Learned: List of all the lessons learned, best practices, and links from my time studying machine learning https://github.com/adeshpande3/Machine-Learning-Links-And-Lessons-Learned 0 comments
- GitHub - aikorea/awesome-rl: Reinforcement learning resources curated https://github.com/aikorea/awesome-rl 0 comments
- Maximum Entropy Policies in Reinforcement Learning & Everyday Life | by Arthur Juliani | Medium https://medium.com/@awjuliani/maximum-entropy-policies-in-reinforcement-learning-everyday-life-f5a1cc18d32d 0 comments
Linked pages
- Human-level control through deep reinforcement learning | Nature http://www.nature.com/nature/journal/v518/n7540/full/nature14236.html 59 comments
- https://gym.openai.com/ 18 comments
- Bellman equation - Wikipedia https://en.wikipedia.org/wiki/Bellman_equation 6 comments
- https://gym.openai.com/envs/FrozenLake-v0/ 0 comments