deep-qlearning-algorithm

Hands-on implementations of Reinforcement Learning algorithms from scratch, progressing from classical methods to deep RL with practical experiments.

In this project, I used Deep Reinforcement Learning to combine artificial neural networks with reinforcement learning.

🐍 The Project is based on Reinforcement Learning which trains the snake to eat the food present in the environment.

🎮 Q-Learning and Deep Q-Learning agents on FrozenLake and Atari Pong using Gymnasium and PyTorch.

A Self Driving Car with Reinforcement Learning

reinforcement learning DQN method to solve OpenAi Gym "LunarLander-v2" by usnig a Deep Neuralnetwork

Deep Learning Project on Task Scheduling

Reinforcement Learning Project using Deep Q Network

Self Diving Car Game using Pytorch and Kivy framework in Python

Tensorflow - Keras /PyTorch Implementation ⚡️ of State-of-the-art DeepQN for RL Gym benchmarks 👨‍💻

Path finding of a doubly Q network with using social choice theory and improved classical Q learning algorithm . uses Tensorflow and pygame

Implementation of Deep Q Learning algorithms in pytorch

Container for all the course materials, assignments, projects and relevant stuff.

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

This repository contains projects completed as a part of the coursework for Introduction to Machine Learning (Fall 2019) taught by Prof. Sargur N. Srihari at the University at Buffalo.

UNIVERSITY OF ROEHAMPTON LONDON

Solving MsPacman game using Deep Q-learning algorithm

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

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

🕹️ Flappy Bird hack using Deep Reinforcement Learning with Double Q-learning