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

Simulation based Soft Continuum Robot Control via Reinforcement Learning

A summary of important concepts and algorithms in RL

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

A deep reinforcement learning approach to search engine ranking (PyTorch). Final Project for UC Berkeley's CS 285: Deep Reinforcement Learning, Decision Making, and Control

🐲 Stanford CS234 : Reinforcement Learning

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

QECO: A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing

TFM. DatCom 2020/2021.

Reinforcement Learning agent that plays Briscola, a famous Italian card game

A Novel Resource Allocation Algorithm in Edge Computing with Deep Reinforcement Learning

presentation on "AI Supremacy in Games: Deep Blue, Watson, Cepheus, AlphaGo, DeepStack and TensorCFR"

My Ph.D. thesis "Contributions to Deep Transfer Learning: from supervised to reinforcement learning", obtained at the Department of Computer Science and Electrical Engineering of the University of Liege

RL-cheat-sheet

Implementation of Multi-Agent Deep Deterministic Policy Gradient (MADDPG) for the Tennis environment in the context of "Collaboration and Competition", the third Udacity Deep Reinforcement Learning Nanodegree project.

Using the DRL algorithms put forward by Deepmind to play Atari 2600 Games with a comparison of algorithm performance

Distributed Deep Reinforcement Learning for Large Scale Robotic Simulations 👨‍💻🤖🕸🕹🕷❤️👨‍🔬

Combining Reinforcement Learning and Search for Cooperative Trajectory Planning

My Master's Thesis on Variational Optimization of Neural Networks written at the Technical University of Denmark