My Reading Lists of Deep Learning and Natural Language Processing

Reinforcement learning theory book about foundations of deep RL algorithms with proofs.

RL Notation and Pseudocode for Udacity's MLND program

Hierarchical Bayesian modeling of RLDM tasks, using R & Python

Reinforcement Learning Cheat Sheet

Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.

Solutions to Sutton and Barto book exercises

Modeling agents with probabilistic programs

Simulation based Soft Continuum Robot Control via Reinforcement Learning

Cheatsheet of Reinforcement Learning (Based on Sutton-Barto Book - 2nd Edition)

Notes and solutions to exercises in Sutton and Barto's Reinforcement Learning textbook

A summary of important concepts and algorithms in RL

I have created a small book summarizing concepts from the Reinforcement Learning part of the ATML 2015 course at UCL (https://www.davidsilver.uk/teaching/)

Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex

🐲 Stanford CS234 : Reinforcement Learning

Unified notation for Markov Decision Processes PO(MDP)s

Samson's MIT Master's Degree Thesis: "Multi-Agent Deep Reinforcement Learning and GAN-Based Market Simulation for Derivatives Pricing and Dynamic Hedging".

Multi-agent reinforcement learning on trains, for Deep Learning class at UNIBO

Use RL to balance the electrical power grid with electric vehicle fleets

Implementing Deep Reinforcement Learning Algorithms in Python for use in the MuJoCo Physics Simulator