atari-2600

A multi-platform Atari 2600 Emulator

Reinforcing Your Learning of Reinforcement Learning

Episode source code for the 8-bit Atari 2600 / VCS / Video Computer System, one of the pioneering home gaming consoles.

Atari 2600 VCS core for the Tang Nano 9k Nano 20K Primer 20k Primer 25K Mega 60k Mega 138K Pro Console60k/138k FPGA

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

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

WUDSN IDE

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

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

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 I had originally made the first, unfinished, version for SMS Power's 2012 competition, then now, four years later, I decided to resume development on this for the 2016 competition.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

GBBox / GameBase Box: frontend for GameBase retro game databases. A Cross-platform (Windows, Mac, Linux) modern frontend

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

🕹️ Racing the Beam — Learn Atari 2600 assembly programming from scratch. 72 hands-on lessons from zero to homebrew mastery.

An implementation of Deep Q Learning from scratch with PyTorch and OpenAI gym on the ATARI environment (Breakout). The author of this code is Bryan Thornbury (@brthor) and all credit goes to him. I did some minor adjustments needed to keep up with numpy / gym and added some QoL improvements.

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

Develop an AI player of Atari Skiing with deep reinforcement learning

Waving flag demo for the Atari 2600.