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 176200 of 625 papers

TitleStatusHype
Improving Experience Replay with Successor Representation0
A Review for Deep Reinforcement Learning in Atari: Benchmarks, Challenges, and Solutions0
GDI: Rethinking What Makes Reinforcement Learning Different from Supervised Learning0
Fast and Data-Efficient Training of Rainbow: an Experimental Study on AtariCode1
Improving Experience Replay through Modeling of Similar Transitions' SetsCode0
Mastering Atari Games with Limited DataCode2
Effects of Different Optimization Formulations in Evolutionary Reinforcement Learning on Diverse Behavior Generation0
Explaining Deep Reinforcement Learning Agents In The Atari Domain through a Surrogate Model0
The Benefits of Being Categorical Distributional: Uncertainty-aware Regularized Exploration in Reinforcement Learning0
How to Sense the World: Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning AgentsCode0
Large Batch Experience ReplayCode1
An Unsupervised Video Game Playstyle Metric via State DiscretizationCode0
Is Policy Learning Overrated?: Width-Based Planning and Active Learning for AtariCode0
Self-Supervised Structured Representations for Deep Reinforcement Learning0
Deep Learning of Intrinsically Motivated Options in the Arcade Learning Environment0
P4O: Efficient Deep Reinforcement Learning with Predictive Processing Proximal Policy Optimization0
Training with Worst-Case Distributional Shift causes Overestimation and Inaccuracies in State-Action Value Functions0
Distributional Perturbation for Efficient Exploration in Distributional Reinforcement Learning0
Maximizing Ensemble Diversity in Deep Reinforcement Learning0
Towards Understanding Distributional Reinforcement Learning: Regularization, Optimization, Acceleration and Sinkhorn Algorithm0
CrowdPlay: Crowdsourcing human demonstration data for offline learning in Atari games0
Faster Reinforcement Learning with Value Target Lower Bounding0
EqR: Equivariant Representations for Data-Efficient Reinforcement Learning0
Should I Run Offline Reinforcement Learning or Behavioral Cloning?0
On Bonus-Based Exploration Methods in the Arcade Learning Environment0
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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