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 351–400 of 625 papers

TitleStatusHype
A Principled Path to Fitted Distributional Evaluation—0
A Review for Deep Reinforcement Learning in Atari: Benchmarks, Challenges, and Solutions—0
A Review for Deep Reinforcement Learning in Atari:Benchmarks, Challenges, and Solutions—0
A Simple Imitation Learning Method via Contrastive Regularization—0
A Distance-based Anomaly Detection Framework for Deep Reinforcement Learning—0
Towards Understanding Asynchronous Advantage Actor-critic: Convergence and Linear Speedup—0
Gamifying the Vehicle Routing Problem with Stochastic Requests—0
Atari games and Intel processors—0
Atari-GPT: Benchmarking Multimodal Large Language Models as Low-Level Policies in Atari Games—0
Attention Option-Critic—0
Attention or memory? Neurointerpretable agents in space and time—0
A Unified Perspective on Value Backup and Exploration in Monte-Carlo Tree Search—0
Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning—0
Avoiding Catastrophic States with Intrinsic Fear—0
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning—0
Bag of Policies for Distributional Deep Exploration—0
Bayesian Distributional Policy Gradients—0
Bayesian Q-learning With Imperfect Expert Demonstrations—0
Benchmarking Bonus-Based Exploration Methods on the Arcade Learning Environment—0
Beyond Exponentially Discounted Sum: Automatic Learning of Return Function—0
Biased Estimates of Advantages over Path Ensembles—0
CAN ALTQ LEARN FASTER: EXPERIMENTS AND THEORY—0
CASA: Bridging the Gap between Policy Improvement and Policy Evaluation with Conflict Averse Policy Iteration—0
Cautious Policy Programming: Exploiting KL Regularization in Monotonic Policy Improvement for Reinforcement Learning—0
Clustered Reinforcement Learning—0
Combating Reinforcement Learning's Sisyphean Curse with Intrinsic Fear—0
Combining Off and On-Policy Training in Model-Based Reinforcement Learning—0
Combining policy gradient and Q-learning—0
Compression and Localization in Reinforcement Learning for ATARI Games—0
Compute- and Memory-Efficient Reinforcement Learning with Latent Experience Replay—0
Constraining Action Sequences with Formal Languages for Deep Reinforcement Learning—0
Contingency-Aware Exploration in Reinforcement Learning—0
Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces—0
Control in Stochastic Environment with Delays: A Model-based Reinforcement Learning Approach—0
Convex Regularization in Monte-Carlo Tree Search—0
CrowdPlay: Crowdsourcing human demonstration data for offline learning in Atari games—0
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments—0
Data Efficient Training for Reinforcement Learning with Adaptive Behavior Policy Sharing—0
Deep Apprenticeship Learning for Playing Games—0
Deep AutoRegressive Networks—0
Deep Bayesian Reward Learning from Preferences—0
Deep Conservative Policy Iteration—0
Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning—0
Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games—0
Deep Learning of Intrinsically Motivated Options in the Arcade Learning Environment—0
Deep Q-Learning with Low Switching Cost—0
Deep Q-Network for AI Soccer—0
Deep Reinforcement Learning Boosted by External Knowledge—0
Deep Reinforcement Learning for Doom using Unsupervised Auxiliary Tasks—0
Deep Reinforcement Learning for NLP—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GDI-I3(200M frames)Score864—Unverified
2GDI-H3(200M frames)Score864—Unverified
3GDI-H3Score864—Unverified
4GDI-I3Score864—Unverified
5Bootstrapped DQNScore855—Unverified
6FQFScore854.2—Unverified
7R2D2Score837.7—Unverified
8Ape-XScore800.9—Unverified
9Agent57Score790.4—Unverified
10IMPALA (deep)Score787.34—Unverified
#ModelMetricClaimedVerifiedStatus
1IQNScore34—Unverified
2QR-DQN-1Score34—Unverified
3TRPO-hashScore34—Unverified
4NoisyNet-DuelingScore34—Unverified
5GDI-H3Score34—Unverified
6GDI-H3(200M frames)Score34—Unverified
7GDI-I3Score34—Unverified
8Go-ExploreScore34—Unverified
9Bootstrapped DQNScore33.9—Unverified
10C51 noopScore33.9—Unverified
#ModelMetricClaimedVerifiedStatus
1Agent57Score580,328.14—Unverified
2QR-DQN-1Score572,510—Unverified
3R2D2Score408,850—Unverified
4IMPALA (deep)Score351,200.12—Unverified
5Ape-XScore302,391.3—Unverified
6A2C + SILScore104,975.6—Unverified
7MuZero (Res2 Adam)Score94,906.25—Unverified
8DreamerV2Score94,688—Unverified
9MuZeroScore72,276—Unverified
10DNAScore52,398—Unverified
#ModelMetricClaimedVerifiedStatus
1GDI-H3Score1,000,000—Unverified
2GDI-H3(200M frames)Score1,000,000—Unverified
3Agent57Score999,997.63—Unverified
4R2D2Score999,996.7—Unverified
5MuZeroScore999,976.52—Unverified
6MuZero (Res2 Adam)Score999,659.18—Unverified
7GDI-I3Score943,910—Unverified
8Ape-XScore392,952.3—Unverified
9C51 noopScore266,434—Unverified
10Duel noopScore50,254.2—Unverified