Deep Reinforcement Learning Algorithms for solving Atari 2600 Games

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A notebook walking through how to use Keras RL to solve Atari environments.

A full-featured AI assistant that runs entirely offline using llama.cpp, optimized for low-latency, high-accuracy inference on consumer-grade hardware

A classic "Atari" game with an elegant touch of artificial intelligence

Trained a Convolutional Neural Network to use OpenAI gym to play Atari 2600 game Pong using input frames of the game.

A deep reinforcement learning agent for Atari games, using keras and tensorflow

Atari Breakout AI is self playing version of classic arcade game breakout

An AI designed to run Atari games using Q-Learning. Based on paper 'Playing Atari with Deep Reinforcement Learning' by Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, and Martin Riedmiller.

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Space Invaders agent trained using DQN/A2C models on OpenAI Gym Atari Environment.

The Real-Time Forest Fire Detection project employs cutting-edge deep learning techniques to detect and respond to forest fires promptly. Leveraging YOLO (You Only Look Once) models and efficient object detection algorithms, this project aims to contribute to early fire detection, reducing the risk of catastrophic damage to our natural landscapes.

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This project implements Deep Q-Network (DQN) agents for playing Atari games using reinforcement learning

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Et maskinlæringsprosjekt i faget TDAT3025 - Anvendt maskinlæring med prosjekt.

Pong agent trained on trained using DQN model on OpenAI Gym Atari Environment.

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Building out a virtual assistant in C# and familiarizing myself with Machine Learning along the way.

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Atari 8bit game prototype created with help by Millfork

AI controller for Atari emulator using body positions (via depth camera) and muscle contraction (via EMG sensors).

Reinforcement Learning AI for Atari Phoenix Game (Master Final Project)

Q-learning script that can learn to play any Atari game using open AI gym.

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Use Reinforment Learning writting a Python program to win at Atari Pong with Open AI Gym

twitterdan tweetleri çekip open.ai sayesinde adresi ve kordinat belirlenip discord webhook urlsine atar

Python Jupyter Notebook program using PyTorch, NumPy, Matplotlib, Gymnasium, and ALE to train an Atari Pong agent written for CIS 730 – Artificial Intelligence, Kansas State University, Spring 2025