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
1Agent57Score2,623.71—Unverified
2Go-ExploreScore2,281—Unverified
3SND-VICScore2,188—Unverified
4SND-STDScore2,138—Unverified
5GDI-I3Score2,035—Unverified
6GDI-H3Score2,000—Unverified
7GDI-H3(200M frames)Score2,000—Unverified
8R2D2Score1,970.7—Unverified
9RNDScore1,859—Unverified
10Ape-XScore1,813—Unverified