A web-based frontend for RetroArch
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Updated
Nov 3, 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
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.
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