A web-based frontend for RetroArch
-
Updated
Dec 17, 2024 - JavaScript
A web-based frontend for RetroArch
A latency-hating emulator of: the Acorn Electron and Archimedes, Amstrad CPC, Apple II/II+/IIe and early Macintosh, Atari 2600 and ST, ColecoVision, Enterprise 64/128, Commodore Vic-20 and Amiga, MSX 1/2, Oric 1/Atmos, early PC compatibles, Sega Master System, Sinclair ZX80/81 and ZX Spectrum.
This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)
A JavaScript library used for running emulators of retro consoles inside browsers.
Ted Fried's MicroCore Labs Projects which include microsequencer-based FPGA cores and emulators for the 8088, 8086, 8051, 6502, 68000, Z80, Risc-V, and also Typewriter and EPROM Emulator projects. MCL51, MCL64, MCL65, MCL65+, MCL68, MCL86, MCL86+, MCL86jr, MCLR5, MCLZ8, MCL6809, XTMax
Gopher2600 is an emulator for the Atari 2600 games console
Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorch
A personal retro game collection cabinet in your browser.
JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"
"Game & Watch" like game for the Atari 2600
An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.
An Atari 2600 emulator written in AssemblyScript compiled to WebAssembly
Code for "Spinning Up a Pong AI With Deep RL" on FloydHub.
Various reverse engineered source code
Episode source code for the 8-bit Atari 2600 / VCS / Video Computer System, one of the pioneering home gaming consoles.
Create Atari 2600 programs with no coding knowledge.
A collection of Deep Reinforcement Learning algorithms implemented in tensorflow. Very extensible. High performing DQN implementation.
Add a description, image, and links to the atari2600 topic page so that developers can more easily learn about it.
To associate your repository with the atari2600 topic, visit your repo's landing page and select "manage topics."