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 501550 of 625 papers

TitleStatusHype
Dueling Network Architectures for Deep Reinforcement LearningCode0
Distributional Reinforcement Learning with Quantile RegressionCode0
Distributional Reinforcement Learning with Regularized Wasserstein LossCode0
State of the Art Control of Atari Games Using Shallow Reinforcement LearningCode0
Distributional Bellman Operators over Mean EmbeddingsCode0
Is Deep Reinforcement Learning Really Superhuman on Atari? Leveling the playing fieldCode0
Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?Code0
Unsupervised Task Clustering for Multi-Task Reinforcement LearningCode0
Jointly Pre-training with Supervised, Autoencoder, and Value Losses for Deep Reinforcement LearningCode0
Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic ForgettingCode0
Distributed Deep Reinforcement Learning: Learn how to play Atari games in 21 minutesCode0
DinerDash Gym: A Benchmark for Policy Learning in High-Dimensional Action SpaceCode0
Unsupervised Video Object Segmentation for Deep Reinforcement LearningCode0
ZPD Teaching Strategies for Deep Reinforcement Learning from DemonstrationsCode0
Q-Value Weighted Regression: Reinforcement Learning with Limited DataCode0
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning AgentsCode0
R2D2: Reliable and Repeatable Detector and DescriptorCode0
Characterizing Attacks on Deep Reinforcement LearningCode0
Ranking Policy DecisionsCode0
A Laplacian Framework for Option Discovery in Reinforcement LearningCode0
Real-time Adversarial Perturbations against Deep Reinforcement Learning Policies: Attacks and DefensesCode0
Reconciling λ-Returns with Experience ReplayCode0
Recurrent Environment SimulatorsCode0
Learning from the memory of Atari 2600Code0
Recurrent Experience Replay in Distributed Reinforcement LearningCode0
Recurrent Independent MechanismsCode0
Learning of Generalizable and Interpretable Knowledge in Grid-Based Reinforcement Learning EnvironmentsCode0
Learning on a Budget via Teacher ImitationCode0
Learning Powerful Policies by Using Consistent Dynamics ModelCode0
Learning Relational Rules from RewardsCode0
Recurrent Action Transformer with MemoryCode0
Challenges of Context and Time in Reinforcement Learning: Introducing Space Fortress as a BenchmarkCode0
Learning State Representations from Random Deep Action-conditional PredictionsCode0
Learning Time-Sensitive Strategies in Space FortressCode0
Can Differentiable Decision Trees Enable Interpretable Reward Learning from Human Feedback?Code0
ToyBox: Better Atari Environments for Testing Reinforcement Learning AgentsCode0
Learning to Perceive in Deep Model-Free Reinforcement LearningCode0
Learning To Play Atari Games Using Dueling Q-Learning and Hebbian PlasticityCode0
Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality TighteningCode0
Student-Initiated Action Advising via Advice NoveltyCode0
Adapting to Reward Progressivity via Spectral Reinforcement LearningCode0
Surprising Negative Results for Generative Adversarial Tree SearchCode0
Using Natural Language for Reward Shaping in Reinforcement LearningCode0
Reinforcement Learning with Dynamic Boltzmann Softmax UpdatesCode0
Boosting Object Representation Learning via Motion and Object ContinuityCode0
Let's Play Again: Variability of Deep Reinforcement Learning Agents in Atari EnvironmentsCode0
Reinforcement Learning with Low-Complexity Liquid State MachinesCode0
Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency MapsCode0
Reinforcement Learning with Perturbed RewardsCode0
Symmetric Reinforcement Learning Loss for Robust Learning on Diverse Tasks and Model ScalesCode0
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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