- If you're interested in Reinforcement learning, check out this free course. I reckon it should take you one month to complete. https://github.com/dennybritz/reinforcement-learning 8 comments learnmachinelearning
- [R] RL agent fixing on zero prob for a subset of actions or output independent of input https://github.com/dennybritz/reinforcement-learning 12 comments reinforcementlearning
Linking pages
- GitHub - kjaisingh/high-school-guide-to-machine-learning: Being a high schooler myself and having studied Machine Learning and Artificial Intelligence for a year now, I believe that there fails to exist a learning path in this field for High School students. This is my attempt at creating one. https://github.com/kjaisingh/high-school-guide-to-machine-learning 38 comments
- GitHub - aymericdamien/TopDeepLearning: A list of popular github projects related to deep learning https://github.com/aymericdamien/TopDeepLearning 35 comments
- GitHub - Pulkit-Khandelwal/Reinforcement-Learning-Notebooks: A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python. https://github.com/Pulkit-Khandelwal/Reinforcement-Learning-Notebooks 7 comments
- GitHub - oprogramador/github-languages: GitHub languages statistics https://github.com/oprogramador/github-languages 5 comments
- Applications of Reinforcement Learning in Real World | by Gary Chan | Towards Data Science https://towardsdatascience.com/applications-of-reinforcement-learning-in-real-world-1a94955bcd12 0 comments
- 3 ways to get into reinforcement learning | InfoWorld https://www.infoworld.com/article/3608428/3-ways-to-get-into-reinforcement-learning.html 0 comments
- What is Machine Learning? - Machine Learning Mindset https://machinelearningmindset.com/what-is-machine-learning/ 0 comments
- Machine Learning Top 10 Articles for the Past Year (v.2017) | by Mybridge | Mybridge for Professionals https://medium.mybridge.co/machine-learning-top-10-of-the-year-v-2017-7552599935c0#.hf12ybdqo 0 comments
- GitHub - fabio-4/JuliaRL: Simple Reinforcement-Learning Implementations in Julia. Warning: Can't find my own mistakes anymore. https://github.com/fabio-4/JuliaRL 0 comments
- GitHub - febinsathar/goodreads: goodreads https://github.com/febinsathar/goodreads 0 comments
- How To Become A Machine Learning Engineer: Learning Path | by Andrey Nikishaev | Machine Learning World | Medium https://medium.com/machine-learning-world/learning-path-for-machine-learning-engineer-a7d5dc9de4a4 0 comments
Linked pages
- TensorFlow http://tensorflow.org/ 440 comments
- Introduction — Spinning Up documentation https://spinningup.openai.com/en/latest/user/introduction.html 50 comments
- Bevor Sie zu YouTube weitergehen https://www.youtube.com/playlist?list=PLqYmG7hTraZDNJre23vqCGIVpfZ_K2RZs 47 comments
- http://incompleteideas.net/book/RLbook2018.pdf 23 comments
- [1511.05952] Prioritized Experience Replay https://arxiv.org/abs/1511.05952 19 comments
- http://rll.berkeley.edu/deeprlcourse/ 18 comments
- https://gym.openai.com/ 18 comments
- [1509.02971] Continuous control with deep reinforcement learning https://arxiv.org/abs/1509.02971 15 comments
- CS 285 http://rail.eecs.berkeley.edu/deeprlcourse/ 13 comments
- https://arxiv.org/abs/1602.01783 7 comments
- CS885 Spring 2018 https://cs.uwaterloo.ca/~ppoupart/teaching/cs885-spring18/index.html 5 comments
- Deep RL Bootcamp - Lectures https://sites.google.com/view/deep-rl-bootcamp/lectures 0 comments
- http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html 0 comments
- http://people.eecs.berkeley.edu/~pabbeel/nips-tutorial-policy-optimization-Schulman-Abbeel.pdf 0 comments
- [1511.06581] Dueling Network Architectures for Deep Reinforcement Learning http://arxiv.org/abs/1511.06581 0 comments
- [1509.06461] Deep Reinforcement Learning with Double Q-learning http://arxiv.org/abs/1509.06461 0 comments
- [1603.01121] Deep Reinforcement Learning from Self-Play in Imperfect-Information Games http://arxiv.org/abs/1603.01121 0 comments