Training a vision-based agent with the Deep Q Learning Network (DQN) in Atari's Breakout environment, implementation in Tensorflow.

Difficult and annoying Tetris implemented by Reinforcement-Learning

Tensorflow based DQN and PyTorch based DDQN Agent for 'MountainCar-v0' openai-gym environment.

Reinforcement learning framework for implementing custom models on custom environments using state of the art RL algorithms

This project has purpose training an DQN Agent to recognize malware traffic.

The goal of this project is to apply what I learned of Reinforcement Learning from the course "Reinforcement Learning Specialization" of University of Alberta & Alberta Machine Intelligence Institute on Coursera.

Self Driving Car using Deep Q-Learning Networks

Implementation of Deep Recurrent Q-Networks for Partially Observable environment setting in Tensorflow

Agent will compare the usage of Neural Network with heuristic vs Deep-Q-Network (DQN) learning to increasingly improve itself on playing a Snake game.

A Deep Q-Network (DQN) implementation for Atari Space Invaders using Gymnasium and PyTorch.