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
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Updated
Dec 10, 2017 - TeX
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
Using the DRL algorithms put forward by Deepmind to play Atari 2600 Games with a comparison of algorithm performance
presentation on "AI Supremacy in Games: Deep Blue, Watson, Cepheus, AlphaGo, DeepStack and TensorCFR"
RL-cheat-sheet
🐲 Stanford CS234 : Reinforcement Learning
Distributed Deep Reinforcement Learning for Large Scale Robotic Simulations 👨💻🤖🕸🕹🕷❤️👨🔬
Implementation of Deep Q Network for the Banana environment in the context of "Navigation", the first Udacity Deep Reinforcement Learning Nanodegree project.
Implementation of Deep Deterministic Policy Gradient (DDPG) for the Reacher (20) environment in the context of "Continuous Control", the second Udacity Deep Reinforcement Learning Nanodegree project.
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.
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
A summary of important concepts and algorithms in RL
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
TFM. DatCom 2020/2021.
Samson's MIT Master's Degree Thesis: "Multi-Agent Deep Reinforcement Learning and GAN-Based Market Simulation for Derivatives Pricing and Dynamic Hedging".
A Novel Resource Allocation Algorithm in Edge Computing with Deep Reinforcement Learning
Reinforcement learning theory book about foundations of deep RL algorithms with proofs.
Reinforcement Learning agent that plays Briscola, a famous Italian card game
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
QECO: A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing
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