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.

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

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.

Reinforcement Learning Project using Deep Q Network

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

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

A Self Driving Car with Reinforcement Learning

Implementation of Deep Q Learning algorithms in pytorch

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

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

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

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

Solving MsPacman game using Deep Q-learning algorithm

Deep Learning Project on Task Scheduling

Self Diving Car Game using Pytorch and Kivy framework in Python

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

UNIVERSITY OF ROEHAMPTON LONDON

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