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Arcade Learning Environment Dataset | PapersGraph

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Environment

Arcade Learning Environment

Introduced in The Arcade Learning Environment: An Evaluation Platform for General Agents2011

About this Dataset

The Arcade Learning Environment (ALE) is an object-oriented framework that allows researchers to develop AI agents for Atari 2600 games. It is built on top of the Atari 2600 emulator Stella and separates the details of emulation from agent design.

Source: https://github.com/mgbellemare/Arcade-Learning-Environment Image Source: https://github.com/muupan/async-rl/blob/master/README.md

Source: The Arcade Learning Environment: An Evaluation Platform for General Agents

Dataset Variants

Atari 2600 BreakoutArcade Learning EnvironmentAtari 2600 Yars RevengeAtari 2600 Wizard of WorAtari 2600 Video PinballAtari 2600 Up and DownAtari 2600 TutankhamAtari 2600 Time PilotAtari 2600 SurroundAtari 2600 Space InvadersAtari 2600 SeaquestAtari 2600 RobotankAtari 2600 Road RunnerAtari 2600 River RaidAtari 2600 Private EyeAtari 2600 Pitfall!Atari 2600 Name This GameAtari 2600 Ms. PacmanAtari 2600 Montezuma's RevengeAtari 2600 Kung-Fu MasterAtari 2600 KangarooAtari 2600 Journey EscapeAtari 2600 James BondAtari 2600 Ice HockeyAtari 2600 GravitarAtari 2600 FrostbiteAtari 2600 FreewayAtari 2600 Fishing DerbyAtari 2600 Elevator ActionAtari 2600 Double DunkAtari 2600 Demon AttackAtari 2600 Crazy ClimberAtari 2600 Chopper CommandAtari 2600 CentipedeAtari 2600 CarnivalAtari 2600 Beam RiderAtari 2600 Battle ZoneAtari 2600 Bank HeistAtari 2600 AtlantisAtari 2600 AsteroidsAtari 2600 AssaultAtari-57Atari 2600 ZaxxonAtari 2600 VentureAtari 2600 TennisAtari 2600 SkiingAtari 2600 Q*BertAtari 2600 PooyanAtari 2600 PongAtari 2600 PhoenixAtari 2600 KrullAtari 2600 HEROAtari 2600 GopherAtari 2600 BowlingAtari 2600 BerzerkAtari 2600 AmidarAtari 2600 Alien

Papers1

The Arcade Learning Environment: An Evaluation Platform for General Agents

The promise of ALE is illustrated by developing and benchmarking domain-independent agents designed using well-established AI techniques for both reinforcement learning and planning, and an evaluation methodology made possible by ALE is proposed.

Dataset Loaders

EDIT

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mgbellemare/Arcade-Learning-Environment

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Tasks

EDIT

Atari Games Montezuma's Revenge

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