atari-2600

A multi-platform Atari 2600 Emulator

Gopher2600 is an Atari 2600/VCS Emulator.

Reinforcing Your Learning of Reinforcement Learning

Notepad++ Syntax Highlighting for 6502 Assembly (and NESASM)

NeurIPS 2019: DQN(λ) = Deep Q-Network + λ-returns.

WUDSN IDE

Official implementation of the paper "Approximating two value functions instead of one: towards characterizing a new family of Deep Reinforcement Learning Algorithms": https://arxiv.org/abs/1909.01779 To appear at the next NeurIPS2019 DRL-Workshop

Used for composite modding Atari console systems such as the Atari 2600

Code repository complementing the ICLR 2021 paper "Unsupervised Object Keypoint Learning using Local Spatial Predictability" (https://arxiv.org/abs/2011.12930)

This is a Sega Master System clone of an Atari 2600 game named Turmoil. I had originally made the first, unfinished, version for SMS Power's 2012 competition, then now, four years later, I decided to resume development on this for the 2016 competition.

Arduino library to read Atari 2600 controllers.

Realtime Raycasting on the Atari VCS

Asteroids is a 1979 space-themed multidirectional shooter arcade game from Atari. This is a rewrite of the classic game but written using HTML5/JavaScript.

Waving flag demo for the Atari 2600.

A screw around project in 6502 assembly for the Atari 2600 (VCS)

Random 6502 assembly for Atari 2600

Develop an AI player of Atari Skiing with deep reinforcement learning

A new version of the classic Atari 2600 Keyboard controller, mostly because I wanted the overlays without paying for worn cardboard sheets.

6502 assembly development for Atari 2600 game console.

Atari800 Installer script for Linux. Downloads, builds and updates the emulator.

Little T-Rex anxiously walking here and there. Written for Atari 2600 VCS.

Atari 2600 VCS code samples

Atari 2600 Emulator

A simple Atari 2600 game

Boilerplate files for building Atari 2600 projects using ca65

Resources for Emuteca: Atari 2600

Continue development of Atari 2600 in Verilog. Based on the original work by Daniel Beer.