SOTAVerified

Atari Games

The Atari 2600 Games task (and dataset) involves training an agent to achieve high game scores.

( Image credit: Playing Atari with Deep Reinforcement Learning )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–10 of 625 papers

TitleStatusHype
Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across DomainsCode0
A Principled Path to Fitted Distributional Evaluation—0
Adaptive Action Duration with Contextual Bandits for Deep Reinforcement Learning in Dynamic EnvironmentsCode0
Meta-learning how to Share Credit among Macro-ActionsCode0
TextAtari: 100K Frames Game Playing with Language AgentsCode0
Improving Performance of Spike-based Deep Q-Learning using Ternary Neurons—0
Automatic Reward Shaping from Confounded Offline Data—0
Frog Soup: Zero-Shot, In-Context, and Sample-Efficient Frogger AgentsCode0
Unraveling the Rainbow: can value-based methods schedule?Code0
SwitchMT: An Adaptive Context Switching Methodology for Scalable Multi-Task Learning in Intelligent Autonomous Agents—0
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All datasetsAtari 2600 BreakoutAtari 2600 FreewayAtari 2600 Q*BertAtari 2600 SeaquestAtari 2600 VentureAtari 2600 Space InvadersAtari 2600 FrostbiteAtari 2600 GravitarAtari 2600 PongAtari 2600 Private EyeAtari 2600 Montezuma's RevengeAtari 2600 Alien

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MuZeroScore741,812.63—Unverified
2Agent57Score297,638.17—Unverified
3GDI-H3(1B frames)Score279,700—Unverified
4R2D2Score229,496.9—Unverified
5MuZero (Res2 Adam)Score70,192.35—Unverified
6GDI-H3Score48,735—Unverified
7GDI-I3Score43,384—Unverified
8Ape-XScore40,804.9—Unverified
9FQFScore16,754.6—Unverified
10IMPALA (deep)Score15,962.1—Unverified