Linking pages
- GitHub - Developer-Y/cs-video-courses: List of Computer Science courses with video lectures. https://github.com/Developer-Y/cs-video-courses 148 comments
- GitHub - owainlewis/awesome-artificial-intelligence: A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers. https://github.com/owainlewis/awesome-artificial-intelligence 35 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
- GitHub - kmario23/deep-learning-drizzle: Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!! https://github.com/kmario23/deep-learning-drizzle 3 comments
- Learning Day https://openai.com/blog/learning-day/ 2 comments
- yobibyte's webpage – Reinforcement Learning Summer School (RLSS 2017) https://yobibyte.github.io/rlss17.html 0 comments
- GitHub - dustinvtran/ml-videos: A collection of video resources for machine learning https://github.com/dustinvtran/ml-videos 0 comments
- GitHub - williamFalcon/DeepRLHacks: Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017) https://github.com/williamFalcon/DeepRLHacks 0 comments
- GitHub - vyraun/Megalodon: Various ML/DL Resources organised at a single place. https://github.com/vyraun/Megalodon 0 comments
- Deep Reinforcement Learning http://planspace.org/20171114-deep_rl/ 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 - omerbsezer/Reinforcement_learning_tutorial_with_demo: Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc.. https://github.com/omerbsezer/Reinforcement_learning_tutorial_with_demo 0 comments
- Bellman Equations, Dynamic Programming and Reinforcement Learning (part 1) int8.io https://int8.io/bellman-equations-reinforcement-learning/ 0 comments
- GitHub - aikorea/awesome-rl: Reinforcement learning resources curated https://github.com/aikorea/awesome-rl 0 comments
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