🕹️ Flappy Bird hack using Deep Reinforcement Learning with Double Q-learning
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Updated
Oct 9, 2021 - Python
🕹️ Flappy Bird hack using Deep Reinforcement Learning with Double Q-learning
Training a vision-based agent with the Deep Q Learning Network (DQN) in Atari's Breakout environment, implementation in Tensorflow.
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.
Path finding of a doubly Q network with using social choice theory and improved classical Q learning algorithm . uses Tensorflow and pygame
UNIVERSITY OF ROEHAMPTON LONDON
A Self Driving Car with Reinforcement Learning
Deep Reinforcement Learning DQN implementation using Burn API written in Rust (ongoing)
Implementation of Deep Q Learning algorithms in pytorch
In this project, I used Deep Reinforcement Learning to combine artificial neural networks with reinforcement learning.
Reinforcement Learning Project using Deep Q Network
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.
🎮 Q-Learning and Deep Q-Learning agents on FrozenLake and Atari Pong using Gymnasium and PyTorch.
Container for all the course materials, assignments, projects and relevant stuff.
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