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

Showing 201250 of 625 papers

TitleStatusHype
Enhancing Two-Player Performance Through Single-Player Knowledge Transfer: An Empirical Study on Atari 2600 GamesCode0
Ensemble and Auxiliary Tasks for Data-Efficient Deep Reinforcement LearningCode0
An Unsupervised Video Game Playstyle Metric via State DiscretizationCode0
Beating the World's Best at Super Smash Bros. with Deep Reinforcement LearningCode0
Beating Atari with Natural Language Guided Reinforcement LearningCode0
On Catastrophic Interference in Atari 2600 GamesCode0
Adapting to Reward Progressivity via Spectral Reinforcement LearningCode0
Estimates for the Branching Factors of Atari GamesCode0
Learning Powerful Policies by Using Consistent Dynamics ModelCode0
Evaluating Agents without RewardsCode0
Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality TighteningCode0
Active inference: demystified and comparedCode0
Deep Reinforcement Learning with Swin TransformersCode0
Adapting Auxiliary Losses Using Gradient SimilarityCode0
Information-Directed Exploration for Deep Reinforcement LearningCode0
Conservative Optimistic Policy Optimization via Multiple Importance SamplingCode0
A Deeper Look at Experience ReplayCode0
Explain Your Move: Understanding Agent Actions Using Focused Feature SaliencyCode0
Explain Your Move: Understanding Agent Actions Using Specific and Relevant Feature AttributionCode0
A Laplacian Framework for Option Discovery in Reinforcement LearningCode0
Back to Basics: Benchmarking Canonical Evolution Strategies for Playing AtariCode0
Increasing the Action Gap: New Operators for Reinforcement LearningCode0
Is Deep Reinforcement Learning Really Superhuman on Atari? Leveling the playing fieldCode0
A quantum-classical reinforcement learning model to play Atari gamesCode0
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI gamesCode0
Contrastive Learning of Structured World ModelsCode0
Deep Reinforcement Learning that MattersCode0
Exploratory Not Explanatory: Counterfactual Analysis of Saliency Maps for Deep Reinforcement LearningCode0
Exploring Unknown States with Action BalanceCode0
ExPoSe: Combining State-Based Exploration with Gradient-Based Online SearchCode0
Importance Prioritized Policy DistillationCode0
Deep reinforcement learning from human preferencesCode0
Fast deep reinforcement learning using online adjustments from the pastCode0
Count-Based Exploration in Feature Space for Reinforcement LearningCode0
Count-Based Exploration with Neural Density ModelsCode0
FDQN: A Flexible Deep Q-Network Framework for Game AutomationCode0
Improve Agents without Retraining: Parallel Tree Search with Off-Policy CorrectionCode0
Formal Language Constraints for Markov Decision ProcessesCode0
Improving Experience Replay through Modeling of Similar Transitions' SetsCode0
Fractal AI: A fragile theory of intelligenceCode0
Frog Soup: Zero-Shot, In-Context, and Sample-Efficient Frogger AgentsCode0
Crossmodal Attentive Skill LearnerCode0
Deep Reinforcement Learning framework for Autonomous DrivingCode0
Fully Parameterized Quantile Function for Distributional Reinforcement LearningCode0
Implementing the Deep Q-NetworkCode0
Recurrent Action Transformer with MemoryCode0
Deep Reinforcement Learning for General Video Game AICode0
IGN : Implicit Generative NetworksCode0
Generalization Tower Network: A Novel Deep Neural Network Architecture for Multi-Task LearningCode0
Implicit Quantile Networks for Distributional Reinforcement LearningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GDI-I3(200M frames)Score864Unverified
2GDI-H3(200M frames)Score864Unverified
3GDI-H3Score864Unverified
4GDI-I3Score864Unverified
5Bootstrapped DQNScore855Unverified
6FQFScore854.2Unverified
7R2D2Score837.7Unverified
8Ape-XScore800.9Unverified
9Agent57Score790.4Unverified
10IMPALA (deep)Score787.34Unverified
#ModelMetricClaimedVerifiedStatus
1IQNScore34Unverified
2QR-DQN-1Score34Unverified
3TRPO-hashScore34Unverified
4NoisyNet-DuelingScore34Unverified
5GDI-H3Score34Unverified
6GDI-H3(200M frames)Score34Unverified
7GDI-I3Score34Unverified
8Go-ExploreScore34Unverified
9Bootstrapped DQNScore33.9Unverified
10C51 noopScore33.9Unverified
#ModelMetricClaimedVerifiedStatus
1Agent57Score580,328.14Unverified
2QR-DQN-1Score572,510Unverified
3R2D2Score408,850Unverified
4IMPALA (deep)Score351,200.12Unverified
5Ape-XScore302,391.3Unverified
6A2C + SILScore104,975.6Unverified
7MuZero (Res2 Adam)Score94,906.25Unverified
8DreamerV2Score94,688Unverified
9MuZeroScore72,276Unverified
10DNAScore52,398Unverified
#ModelMetricClaimedVerifiedStatus
1GDI-H3Score1,000,000Unverified
2GDI-H3(200M frames)Score1,000,000Unverified
3Agent57Score999,997.63Unverified
4R2D2Score999,996.7Unverified
5MuZeroScore999,976.52Unverified
6MuZero (Res2 Adam)Score999,659.18Unverified
7GDI-I3Score943,910Unverified
8Ape-XScore392,952.3Unverified
9C51 noopScore266,434Unverified
10Duel noopScore50,254.2Unverified