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

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

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

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MIT licensehttps://github.com/scilover/reinforcement-learning
https://github.com/scilover/reinforcement-learning#overview
Reinforcement Learning: An Introduction (2nd Edition)http://incompleteideas.net/book/RLbook2018.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://github.com/scilover/reinforcement-learning#table-of-contents
Introduction to RL problems & OpenAI Gymhttps://github.com/scilover/reinforcement-learning/blob/master/Introduction
MDPs and Bellman Equationshttps://github.com/scilover/reinforcement-learning/blob/master/MDP
Dynamic Programming: Model-Based RL, Policy Iteration and Value Iterationhttps://github.com/scilover/reinforcement-learning/blob/master/DP
Monte Carlo Model-Free Prediction & Controlhttps://github.com/scilover/reinforcement-learning/blob/master/MC
Temporal Difference Model-Free Prediction & Controlhttps://github.com/scilover/reinforcement-learning/blob/master/TD
Function Approximationhttps://github.com/scilover/reinforcement-learning/blob/master/FA
Deep Q Learninghttps://github.com/scilover/reinforcement-learning/blob/master/DQN
Policy Gradient Methodshttps://github.com/scilover/reinforcement-learning/blob/master/PolicyGradient
https://github.com/scilover/reinforcement-learning#list-of-implemented-algorithms
Dynamic Programming Policy Evaluationhttps://github.com/scilover/reinforcement-learning/blob/master/DP/Policy%20Evaluation%20Solution.ipynb
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Deep Q-Learning for Atari Gameshttps://github.com/scilover/reinforcement-learning/blob/master/DQN/Deep%20Q%20Learning%20Solution.ipynb
Double Deep-Q Learning for Atari Gameshttps://github.com/scilover/reinforcement-learning/blob/master/DQN/Double%20DQN%20Solution.ipynb
Policy Gradient: REINFORCE with Baselinehttps://github.com/scilover/reinforcement-learning/blob/master/PolicyGradient/CliffWalk%20REINFORCE%20with%20Baseline%20Solution.ipynb
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Asynchronous Advantage Actor Critic (A3C)https://github.com/scilover/reinforcement-learning/blob/master/PolicyGradient/a3c
https://github.com/scilover/reinforcement-learning#resources
Reinforcement Learning: An Introduction (2nd Edition)http://incompleteideas.net/book/RLbook2018.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
CS885 - Reinforcement Learning (UWaterloo), Spring 2018https://cs.uwaterloo.ca/~ppoupart/teaching/cs885-spring18/
CS294-112 - Deep Reinforcement Learning (UC Berkeley)http://rail.eecs.berkeley.edu/deeprlcourse/
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
OpenAI Spinning Uphttps://spinningup.openai.com/en/latest/user/introduction.html
Advanced Deep Learning & Reinforcement Learning (UCL 2018, DeepMind)https://www.youtube.com/playlist?list=PLqYmG7hTraZDNJre23vqCGIVpfZ_K2RZs
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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