A path to deep learning skills
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Updated
Jul 21, 2017 - Python
A path to deep learning skills
Experimental codes and notebooks coded while learning RL.
A collection of Single/Multiplayer Games Played by AI
Custom Environments for training RL Agents
This repository contains high quality and tested implementation of Asynchronous Actor Critic Algorithm
An application of Reinforcement Learning (RL) from the SDD RL class to function approximators and deep learning.
Compares RL and IRL models on different gridworld environments
grid-world, reinforcement learning
Reinforcement Learning Implementations in PyTorch
CartPole-CrossEntropyMethod
Deep Learning The Foundation of AI
This repository contains code to train and test policies for a MPE environment (Simple Spread). Training is done using DQL for independent learning. Testing was done using 3 different policies: RL, Simple Policy, Complex Policy.
Luca Albinescu's Dissertation Project for Newcastle University. This project uses code from multiple sources in order to create a combined Imitation and Reinforcement Learning Agent that can drive autonomously inside the f1tenth (gym) simulated environment.
Educational ML project
Programming exercises solutions for Sutton and Barto's Reinforcement Learning: An introduction
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