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 150 of 625 papers

TitleStatusHype
CALE: Continuous Arcade Learning EnvironmentCode7
MineDojo: Building Open-Ended Embodied Agents with Internet-Scale KnowledgeCode4
Distributed Prioritized Experience ReplayCode3
Rainbow: Combining Improvements in Deep Reinforcement LearningCode3
Streaming Deep Reinforcement Learning Finally WorksCode3
Mastering Atari, Go, Chess and Shogi by Planning with a Learned ModelCode2
Benchmarking Deep Reinforcement Learning for Continuous ControlCode2
Harfang3D Dog-Fight Sandbox: A Reinforcement Learning Research Platform for the Customized Control Tasks of Fighter AircraftsCode2
Conformal Symplectic Optimization for Stable Reinforcement LearningCode2
Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation ModelsCode2
Accelerated Methods for Deep Reinforcement LearningCode2
Mastering Atari Games with Limited DataCode2
Human-Level Control through Directly-Trained Deep Spiking Q-NetworksCode1
High-Throughput Synchronous Deep RLCode1
Hybrid Self-Attention NEAT: A novel evolutionary approach to improve the NEAT algorithmCode1
Go-Explore: a New Approach for Hard-Exploration ProblemsCode1
Fast and Data-Efficient Training of Rainbow: an Experimental Study on AtariCode1
Going Beyond Linear Transformers with Recurrent Fast Weight ProgrammersCode1
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner ArchitecturesCode1
Evolution Strategies as a Scalable Alternative to Reinforcement LearningCode1
Enhancing Chess Reinforcement Learning with Graph RepresentationCode1
Evolving Reinforcement Learning AlgorithmsCode1
Contrastive Variational Reinforcement Learning for Complex ObservationsCode1
Exploration by Random Network DistillationCode1
First return, then exploreCode1
Generalizable Episodic Memory for Deep Reinforcement LearningCode1
Divergence-Augmented Policy OptimizationCode1
A Deep Reinforcement Learning Approach for Finding Non-Exploitable Strategies in Two-Player Atari GamesCode1
A Distributional Perspective on Reinforcement LearningCode1
How To Guide Your Learner: Imitation Learning with Active Adaptive Expert InvolvementCode1
Discriminative Particle Filter Reinforcement Learning for Complex Partial ObservationsCode1
DNA: Proximal Policy Optimization with a Dual Network ArchitectureCode1
Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data AugmentationCode1
Asynchronous Methods for Deep Reinforcement LearningCode1
Deep Reinforcement Learning with Double Q-learningCode1
Atari-5: Distilling the Arcade Learning Environment down to Five GamesCode1
A coevolutionary approach to deep multi-agent reinforcement learningCode1
Deep Recurrent Q-Learning for Partially Observable MDPsCode1
Deep Hierarchical Planning from PixelsCode1
Developing an OpenAI Gym-compatible framework and simulation environment for testing Deep Reinforcement Learning agents solving the Ambulance Location ProblemCode1
Behavior From the Void: Unsupervised Active Pre-TrainingCode1
Distributional Reinforcement Learning via Moment MatchingCode1
Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate ProgressCode1
Eigenoption Discovery through the Deep Successor RepresentationCode1
Evolutionary Self-Replication as a Mechanism for Producing Artificial IntelligenceCode1
Active Reinforcement Learning for Robust Building ControlCode1
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement LearningCode1
Agent57: Outperforming the Atari Human BenchmarkCode1
An Optimistic Perspective on Offline Deep Reinforcement LearningCode1
CURL: Contrastive Unsupervised Representations for Reinforcement LearningCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GDI-H3Score864Unverified
2GDI-H3(200M frames)Score864Unverified
3GDI-I3(200M frames)Score864Unverified
4GDI-I3Score864Unverified
5Bootstrapped DQNScore855Unverified
6FQFScore854.2Unverified
7R2D2Score837.7Unverified
8Ape-XScore800.9Unverified
9Agent57Score790.4Unverified
10IMPALA (deep)Score787.34Unverified
#ModelMetricClaimedVerifiedStatus
1IQNScore34Unverified
2TRPO-hashScore34Unverified
3Go-ExploreScore34Unverified
4QR-DQN-1Score34Unverified
5NoisyNet-DuelingScore34Unverified
6GDI-H3Score34Unverified
7GDI-H3(200M frames)Score34Unverified
8GDI-I3Score34Unverified
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-H3(200M frames)Score1,000,000Unverified
2GDI-H3Score1,000,000Unverified
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