The official home of the EmulatorJS project
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Updated
May 21, 2024 - JavaScript
The official home of the EmulatorJS project
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)
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
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.
Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorch
Gopher2600 is an emulator for the Atari 2600 games console
A JavaScript library used for running emulators of retro consoles inside browsers.
Code for "Spinning Up a Pong AI With Deep RL" on FloydHub.
A personal retro game collection cabinet in your browser.
An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.
Notepad++ Syntax Highlighting for 6502 Assembly (and NESASM)
Missile Command arcade game clone, written in Lua with LÖVE for Mac OS, Windows and Linux.
A collection of Deep Reinforcement Learning algorithms implemented in tensorflow. Very extensible. High performing DQN implementation.
An Atari 2600 emulator written in AssemblyScript compiled to WebAssembly
An implementation of Deep Q-Learning from Demonstrations (DQfD) for playing Atari 2600 video games
Dasm macro assembler support for VSCode
JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"
👾 My solutions to OpenAI Gym Reinforcement Learning problems.
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