Deep Reinforcement Learning Algorithms for solving Atari 2600 Games
Sample source code games Atari 2600
Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games
Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.
翻译 - EfficientZero 的开源代码库，来自 NeurIPS 2021 的“Mastering Atari Games with Limited Data”。
Implementation of "Action-Conditional Video Prediction using Deep Networks in Atari Games"
Gopher2600 is an emulator for the Atari 2600 games console
Train an RL agent to play multiple Atari games at once
Bots for Atari Games using Reinforcement Learning
DPPO-tensorflow for Atari games based on baselines
small experiments with agents learning atari games, implemented in jax/numpy
#计算机科学#Mastering Atari with Discrete World Models
翻译 - 运用离散世界模型掌握Atari
A multi-platform Atari 2600 Emulator
Persistent advantage learning dueling double DQN for the Arcade Learning Environment
DQN to play Atari Pong
A3C LSTM Atari with Pytorch plus A3G design
ScummVM for stock Atari computers.
SDK for the Atari Arcade, http://www.atari.com/arcade
Fonts generated from original bitmaps from Atari 8bit computers
Games: Create interesting games in pure python.
翻译 - 某些由python代码创建的游戏。