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 151175 of 625 papers

TitleStatusHype
Implicit Quantile Networks for Distributional Reinforcement LearningCode0
Importance Prioritized Policy DistillationCode0
Can Differentiable Decision Trees Enable Interpretable Reward Learning from Human Feedback?Code0
Implementing the Deep Q-NetworkCode0
Improve Agents without Retraining: Parallel Tree Search with Off-Policy CorrectionCode0
Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice via HyperAgentCode0
Boosting Object Representation Learning via Motion and Object ContinuityCode0
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning AgentsCode0
Hybrid Reinforcement Learning with Expert State SequencesCode0
IGN : Implicit Generative NetworksCode0
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI gamesCode0
Distributional Reinforcement Learning with Quantile RegressionCode0
Hindsight Trust Region Policy OptimizationCode0
How to Sense the World: Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning AgentsCode0
Benchmarking Perturbation-based Saliency Maps for Explaining Atari AgentsCode0
Distributional Bellman Operators over Mean EmbeddingsCode0
Adaptive Action Duration with Contextual Bandits for Deep Reinforcement Learning in Dynamic EnvironmentsCode0
Distributed Deep Reinforcement Learning: Learn how to play Atari games in 21 minutesCode0
Human level control through deep reinforcement learningCode0
Graph Backup: Data Efficient Backup Exploiting Markovian TransitionsCode0
Accelerating Reinforcement Learning through GPU Atari EmulationCode0
Distributional Reinforcement Learning with Regularized Wasserstein LossCode0
Harnessing Structures for Value-Based Planning and Reinforcement LearningCode0
DinerDash Gym: A Benchmark for Policy Learning in High-Dimensional Action SpaceCode0
Beating the World's Best at Super Smash Bros. with Deep Reinforcement LearningCode0
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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