deep-q-learning-network

Applied Deep Learning (2019 Spring) @ NTU

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

Optimal drone aeronautical route calculation for making emergency delivery system using drones.

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

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

Personal Deep Reinforcement Learning class notes

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

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

Self Driving Car using Deep Q-Learning Networks

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.

Deep Reinforcement Learning DQN implementation using Burn API written in Rust (ongoing)

Dueling Network Architecture Implementation for Deep Reinforcement Learning

Train a Deep Q-Network (DQN) agent to master the classic Flappy Bird game through reinforcement learning.

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

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.