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 51100 of 625 papers

TitleStatusHype
Deep Hierarchical Planning from PixelsCode1
Playing Atari with Deep Reinforcement LearningCode1
Prioritized Experience ReplayCode1
Eigenoption Discovery through the Deep Successor RepresentationCode1
Revisiting Discrete Soft Actor-CriticCode1
Revisiting Rainbow: Promoting more Insightful and Inclusive Deep Reinforcement Learning ResearchCode1
A Deep Reinforcement Learning Approach for Finding Non-Exploitable Strategies in Two-Player Atari GamesCode1
Robust Deep Reinforcement Learning through Adversarial LossCode1
Evolving Reinforcement Learning AlgorithmsCode1
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximationCode1
Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model PretrainingCode1
Self-Supervised Discovering of Interpretable Features for Reinforcement LearningCode1
Going Beyond Linear Transformers with Recurrent Fast Weight ProgrammersCode1
Active Reinforcement Learning for Robust Building ControlCode1
Discovering Reinforcement Learning AlgorithmsCode1
Agent57: Outperforming the Atari Human BenchmarkCode1
Discriminative Particle Filter Reinforcement Learning for Complex Partial ObservationsCode1
Distributional Reinforcement Learning via Moment MatchingCode1
Deep Recurrent Q-Learning for Partially Observable MDPsCode1
Augmenting Policy Learning with Routines Discovered from a Single DemonstrationCode1
A coevolutionary approach to deep multi-agent reinforcement learningCode1
DNA: Proximal Policy Optimization with a Dual Network ArchitectureCode1
Enhancing Chess Reinforcement Learning with Graph RepresentationCode1
Evolutionary Self-Replication as a Mechanism for Producing Artificial IntelligenceCode1
Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data AugmentationCode1
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement LearningCode1
Fast and Data-Efficient Training of Rainbow: an Experimental Study on AtariCode1
First return, then exploreCode1
A Game-Theoretic Approach to Multi-Agent Trust Region OptimizationCode1
High-Throughput Synchronous Deep RLCode1
Behavior From the Void: Unsupervised Active Pre-TrainingCode1
Human-Level Control through Directly-Trained Deep Spiking Q-NetworksCode1
Deep Reinforcement Learning with Double Q-learningCode1
Atari-5: Distilling the Arcade Learning Environment down to Five GamesCode1
Interpretable and Editable Programmatic Tree Policies for Reinforcement LearningCode1
Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate ProgressCode1
IQ-Learn: Inverse soft-Q Learning for ImitationCode1
Large Batch Experience ReplayCode1
Asynchronous Methods for Deep Reinforcement LearningCode1
MALib: A Parallel Framework for Population-based Multi-agent Reinforcement LearningCode1
Developing an OpenAI Gym-compatible framework and simulation environment for testing Deep Reinforcement Learning agents solving the Ambulance Location ProblemCode1
Divergence-Augmented Policy OptimizationCode1
Contrastive Variational Reinforcement Learning for Complex ObservationsCode1
Munchausen Reinforcement LearningCode1
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement LearningCode1
CURL: Contrastive Unsupervised Representations for Reinforcement LearningCode1
NavDreams: Towards Camera-Only RL Navigation Among HumansCode1
Never Give Up: Learning Directed Exploration StrategiesCode1
An Optimistic Perspective on Offline Deep Reinforcement LearningCode1
Think Before You Act: Decision Transformers with Working MemoryCode1
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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