强化学习算法库，包含了目前主流的强化学习算法(Value based and Policy based)的代码，代码都经过调试并可以运行

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

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

UNIVERSITY OF ROEHAMPTON LONDON

Self Diving Car Game using Pytorch and Kivy framework in Python

Deep Learning Project on Task Scheduling

Solving MsPacman game using Deep Q-learning algorithm

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

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

A Self Driving Car with Reinforcement Learning

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

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

Implementation of Deep Q Learning algorithms in pytorch

🎮 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

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

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