Popular GitHub Repositories for Epsilon Greedy

implement basic and contextual MAB algorithms for recommendation system

Multi-Agent Deep Recurrent Q-Learning with Bayesian epsilon-greedy on AirSim simulator

RL algorithms for pygame version of Flappy Bird

This project implements a Deep Reinforcement Learning (DRL) agent to play the classic Atari game Space Invaders using the DQN (Deep Q-Network) algorithm. The project includes a Jupyter notebook (space_invaders.ipynb) that walks through the process of training and testing the agent.

A set of tools for machine learning (for the current day, there are active learning utilities and implementations of some stacking-based techniques).

Improved Bot Learning process on Atari games by using Transfer Learning. An Extension of Playing Atari with Reinforcement Learning. Part of CS677 NJIT Final Project.