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Title: GitHub - algorithmdaybyday/reinforcement-learning: Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

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X Title: GitHub - algorithmdaybyday/reinforcement-learning: Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Description: Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course. - algorithmdaybyday/reinforcement-learning

Open Graph Description: Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course. - algorithmdaybyday/reinfo...

X Description: Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course. - algorithmdaybyda...

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https://patch-diff.githubusercontent.com/algorithmdaybyday/reinforcement-learning#overview
Reinforcement Learning: An Introduction (2nd Edition)http://incompleteideas.net/book/bookdraft2018jan1.pdf
David Silver's Reinforcement Learning Coursehttp://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html
OpenAI Gymhttps://gym.openai.com/
Tensorflowhttps://www.tensorflow.org/
https://patch-diff.githubusercontent.com/algorithmdaybyday/reinforcement-learning#table-of-contents
Introduction to RL problems & OpenAI Gymhttps://patch-diff.githubusercontent.com/algorithmdaybyday/reinforcement-learning/blob/master/Introduction
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https://patch-diff.githubusercontent.com/algorithmdaybyday/reinforcement-learning#resources
Reinforcement Learning: An Introduction (2nd Edition)http://incompleteideas.net/book/bookdraft2018jan1.pdf
David Silver's Reinforcement Learning Course (UCL, 2015)http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html
CS294 - Deep Reinforcement Learning (Berkeley, Fall 2015)http://rll.berkeley.edu/deeprlcourse/
CS 8803 - Reinforcement Learning (Georgia Tech)https://www.udacity.com/course/reinforcement-learning--ud600
Introduction to Reinforcement Learning (Joelle Pineau @ Deep Learning Summer School 2016)http://videolectures.net/deeplearning2016_pineau_reinforcement_learning/
Deep Reinforcement Learning (Pieter Abbeel @ Deep Learning Summer School 2016)http://videolectures.net/deeplearning2016_abbeel_deep_reinforcement/
Deep Reinforcement Learning ICML 2016 Tutorial (David Silver)http://techtalks.tv/talks/deep-reinforcement-learning/62360/
Tutorial: Introduction to Reinforcement Learning with Function Approximationhttps://www.youtube.com/watch?v=ggqnxyjaKe4
John Schulman - Deep Reinforcement Learning (4 Lectures)https://www.youtube.com/playlist?list=PLjKEIQlKCTZYN3CYBlj8r58SbNorobqcp
Deep Reinforcement Learning Slides @ NIPS 2016http://people.eecs.berkeley.edu/~pabbeel/nips-tutorial-policy-optimization-Schulman-Abbeel.pdf
carpedm20/deep-rl-tensorflowhttps://github.com/carpedm20/deep-rl-tensorflow
matthiasplappert/keras-rlhttps://github.com/matthiasplappert/keras-rl
Human-Level Control through Deep Reinforcement Learning (2015-02)http://www.readcube.com/articles/10.1038/nature14236
Deep Reinforcement Learning with Double Q-learning (2015-09)http://arxiv.org/abs/1509.06461
Continuous control with deep reinforcement learning (2015-09)https://arxiv.org/abs/1509.02971
Prioritized Experience Replay (2015-11)http://arxiv.org/abs/1511.05952
Dueling Network Architectures for Deep Reinforcement Learning (2015-11)http://arxiv.org/abs/1511.06581
Asynchronous Methods for Deep Reinforcement Learning (2016-02)http://arxiv.org/abs/1602.01783
Deep Reinforcement Learning from Self-Play in Imperfect-Information Games (2016-03)http://arxiv.org/abs/1603.01121
Mastering the game of Go with deep neural networks and tree searchhttps://gogameguru.com/i/2016/03/deepmind-mastering-go.pdf
www.wildml.com/2016/10/learning-reinforcement-learning/http://www.wildml.com/2016/10/learning-reinforcement-learning/
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