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
Harfang3D Dog-Fight Sandbox: A Reinforcement Learning Research Platform for the Customized Control Tasks of Fighter AircraftsCode2
Conformal Symplectic Optimization for Stable Reinforcement LearningCode2
Benchmarking Deep Reinforcement Learning for Continuous ControlCode2
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
Going Beyond Linear Transformers with Recurrent Fast Weight ProgrammersCode1
Exploration by Random Network DistillationCode1
First return, then exploreCode1
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner ArchitecturesCode1
Evolutionary Self-Replication as a Mechanism for Producing Artificial IntelligenceCode1
Enhancing Chess Reinforcement Learning with Graph RepresentationCode1
Evolution Strategies as a Scalable Alternative to Reinforcement LearningCode1
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement LearningCode1
Fast and Data-Efficient Training of Rainbow: an Experimental Study on AtariCode1
Generalizable Episodic Memory for Deep Reinforcement LearningCode1
Go-Explore: a New Approach for Hard-Exploration ProblemsCode1
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
Evolving Reinforcement Learning AlgorithmsCode1
Deep Hierarchical Planning from PixelsCode1
Deep Reinforcement Learning with Double Q-learningCode1
Asynchronous Methods for Deep Reinforcement LearningCode1
A coevolutionary approach to deep multi-agent reinforcement learningCode1
Deep Recurrent Q-Learning for Partially Observable MDPsCode1
Behavior From the Void: Unsupervised Active Pre-TrainingCode1
Augmenting Policy Learning with Routines Discovered from a Single DemonstrationCode1
Decision Transformer: Reinforcement Learning via Sequence ModelingCode1
Distributional Reinforcement Learning via Moment MatchingCode1
Eigenoption Discovery through the Deep Successor RepresentationCode1
Developing an OpenAI Gym-compatible framework and simulation environment for testing Deep Reinforcement Learning agents solving the Ambulance Location ProblemCode1
Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate ProgressCode1
Active Reinforcement Learning for Robust Building ControlCode1
Agent57: Outperforming the Atari Human BenchmarkCode1
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement LearningCode1
An Optimistic Perspective on Offline Deep Reinforcement LearningCode1
Contrastive Variational Reinforcement Learning for Complex ObservationsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GDI-H3(200M frames)Score864Unverified
2GDI-H3Score864Unverified
3GDI-I3(200M frames)Score864Unverified
4GDI-I3Score864Unverified
5Bootstrapped DQNScore855Unverified
6FQFScore854.2Unverified
7R2D2Score837.7Unverified
8Ape-XScore800.9Unverified
9Agent57Score790.4Unverified
10IMPALA (deep)Score787.34Unverified
#ModelMetricClaimedVerifiedStatus
1GDI-I3Score34Unverified
2NoisyNet-DuelingScore34Unverified
3GDI-H3Score34Unverified
4TRPO-hashScore34Unverified
5IQNScore34Unverified
6QR-DQN-1Score34Unverified
7GDI-H3(200M frames)Score34Unverified
8Go-ExploreScore34Unverified
9ASL DDQNScore33.9Unverified
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