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 251300 of 625 papers

TitleStatusHype
Increasing the Action Gap: New Operators for Reinforcement LearningCode0
Incentivizing Exploration In Reinforcement Learning With Deep Predictive ModelsCode0
Decision Transformer vs. Decision Mamba: Analysing the Complexity of Sequential Decision Making in Atari GamesCode0
Deep Reinforcement Learning for General Video Game AICode0
Mean Actor CriticCode0
Multi-task Deep Reinforcement Learning with PopArtCode0
Lucid Dreaming for Experience Replay: Refreshing Past States with the Current PolicyCode0
Improving Experience Replay through Modeling of Similar Transitions' SetsCode0
Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency MapsCode0
Deep Quality-Value (DQV) LearningCode0
Improve Agents without Retraining: Parallel Tree Search with Off-Policy CorrectionCode0
Importance Prioritized Policy DistillationCode0
Let's Play Again: Variability of Deep Reinforcement Learning Agents in Atari EnvironmentsCode0
Learning to Perceive in Deep Model-Free Reinforcement LearningCode0
Deep Policies for Width-Based Planning in Pixel DomainsCode0
Learning To Play Atari Games Using Dueling Q-Learning and Hebbian PlasticityCode0
Learning State Representations from Random Deep Action-conditional PredictionsCode0
Hybrid Reinforcement Learning with Expert State SequencesCode0
Learning Relational Rules from RewardsCode0
Learning Time-Sensitive Strategies in Space FortressCode0
Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality TighteningCode0
Massively Parallel Methods for Deep Reinforcement LearningCode0
Human level control through deep reinforcement learningCode0
Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice via HyperAgentCode0
IGN : Implicit Generative NetworksCode0
Actor-Mimic: Deep Multitask and Transfer Reinforcement LearningCode0
Implementing the Deep Q-NetworkCode0
Implicit Quantile Networks for Distributional Reinforcement LearningCode0
How to Sense the World: Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning AgentsCode0
Learning of Generalizable and Interpretable Knowledge in Grid-Based Reinforcement Learning EnvironmentsCode0
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI gamesCode0
Hindsight Trust Region Policy OptimizationCode0
Deep Exploration via Bootstrapped DQNCode0
Hierarchical Width-Based Planning and LearningCode0
Learning from the memory of Atari 2600Code0
Learning on a Budget via Teacher ImitationCode0
Harnessing Structures for Value-Based Planning and Reinforcement LearningCode0
Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?Code0
Is Deep Reinforcement Learning Really Superhuman on Atari? Leveling the playing fieldCode0
Jointly Pre-training with Supervised, Autoencoder, and Value Losses for Deep Reinforcement LearningCode0
Memory-Efficient Episodic Control Reinforcement Learning with Dynamic Online k-meansCode0
Information-Directed Exploration for Deep Reinforcement LearningCode0
Deep Reinforcement Learning framework for Autonomous DrivingCode0
Graph Backup: Data Efficient Backup Exploiting Markovian TransitionsCode0
Deep Attention Recurrent Q-NetworkCode0
Accelerating Reinforcement Learning through GPU Atari EmulationCode0
Model-Based Reinforcement Learning for AtariCode0
Learning Powerful Policies by Using Consistent Dynamics ModelCode0
Scalable Real-Time Recurrent Learning Using Columnar-Constructive NetworksCode0
Reinforcement Learning with Low-Complexity Liquid State MachinesCode0
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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