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- GitHub - Developer-Y/cs-video-courses: List of Computer Science courses with video lectures. https://github.com/Developer-Y/cs-video-courses 148 comments
- ML Resources https://sgfin.github.io/learning-resources/ 21 comments
- GitHub - dennybritz/reinforcement-learning: Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course. https://github.com/dennybritz/reinforcement-learning 20 comments
- GitHub - higgsfield/RL-Adventure-2: PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay https://github.com/higgsfield/RL-Adventure-2 20 comments
- Moving Towards Managing AI Products | by Prasad Velamuri | Insight https://blog.insightdatascience.com/moving-towards-managing-ai-products-5268c5e9ecf2 15 comments
- GitHub - yandexdataschool/Practical_RL: A course in reinforcement learning in the wild https://github.com/yandexdataschool/Practical_RL 4 comments
- Learning AI. Advices from Open AI, Facebook AI… | by Iconic Studio | BlackWaves Capital | Medium https://medium.com/open-intelligence/recommended-resources-for-learning-ai-3ab4023cfa85#.s681a6tpz 2 comments
- yobibyte's webpage – Reinforcement Learning Summer School (RLSS 2017) https://yobibyte.github.io/rlss17.html 0 comments
- GitHub - endymecy/awesome-deeplearning-resources: Deep Learning and deep reinforcement learning research papers and some codes https://github.com/endymecy/awesome-deeplearning-resources 0 comments
- 50 things I learned at NIPS 2016. I learned many things about AI and ML… | by Andreas Stuhlmüller | Ought https://blog.ought.com/nips-2016-875bb8fadb8c#.yi31mk72p 0 comments
- Team++ https://openai.com/blog/team-plus-plus/ 0 comments
- GitHub - lefnire/tforce_btc_trader: TensorForce Bitcoin Trading Bot https://github.com/lefnire/tforce_btc_trader 0 comments
- GitHub - ChristosChristofidis/awesome-deep-learning: A curated list of awesome Deep Learning tutorials, projects and communities. https://github.com/ChristosChristofidis/awesome-deep-learning 0 comments
- Machine Learning for Humans, Part 5: Reinforcement Learning | by Vishal Maini | Machine Learning for Humans | Medium https://medium.com/machine-learning-for-humans/reinforcement-learning-6eacf258b265 0 comments
- GitHub - higgsfield/RL-Adventure: Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL https://github.com/higgsfield/RL-Adventure 0 comments
- GitHub - aikorea/awesome-rl: Reinforcement learning resources curated https://github.com/aikorea/awesome-rl 0 comments
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