My Master's Thesis on Variational Optimization of Neural Networks written at the Technical University of Denmark
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Updated
Dec 1, 2021 - TeX
My Master's Thesis on Variational Optimization of Neural Networks written at the Technical University of Denmark
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 Deep Q Network for the Banana environment in the context of "Navigation", the first 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.
Using the DRL algorithms put forward by Deepmind to play Atari 2600 Games with a comparison of algorithm performance
Combining Reinforcement Learning and Search for Cooperative Trajectory Planning
Distributed Deep Reinforcement Learning for Large Scale Robotic Simulations 👨💻🤖🕸🕹🕷❤️👨🔬
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
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"
TFM. DatCom 2020/2021.
Reinforcement Learning agent that plays Briscola, a famous Italian card game
QOCO: A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing
Samson's MIT Master's Degree Thesis: "Multi-Agent Deep Reinforcement Learning and GAN-Based Market Simulation for Derivatives Pricing and Dynamic Hedging".
🐲 Stanford CS234 : Reinforcement Learning
A summary of important concepts and algorithms in RL
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
Simulation based Soft Continuum Robot Control via Reinforcement Learning
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