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 401–450 of 625 papers

TitleStatusHype
Minimalistic Attacks: How Little it Takes to Fool a Deep Reinforcement Learning Policy—0
Fully Parameterized Quantile Function for Distributional Reinforcement LearningCode0
ZPD Teaching Strategies for Deep Reinforcement Learning from DemonstrationsCode0
Momentum-based Accelerated Q-learningCode0
Momentum in Reinforcement Learning—0
Soft Actor-Critic for Discrete Action SettingsCode0
Parallel Exploration via Negatively Correlated Search—0
Reinforcement Learning with Structured Hierarchical Grammar Representations of Actions—0
Formal Language Constraints for Markov Decision ProcessesCode0
Playing Atari Ball Games with Hierarchical Reinforcement Learning—0
Harnessing Structures for Value-Based Planning and Reinforcement LearningCode0
Striving for Simplicity in Off-Policy Deep Reinforcement Learning—0
CAN ALTQ LEARN FASTER: EXPERIMENTS AND THEORY—0
Off-Policy Actor-Critic with Shared Experience Replay—0
Regulatory Focus: Promotion and Prevention Inclinations in Policy Search—0
Learning Key Steps to Attack Deep Reinforcement Learning Agents—0
Recurrent Independent MechanismsCode0
Active inference: demystified and comparedCode0
Biased Estimates of Advantages over Path Ensembles—0
Reinforcement Learning and Video Games—0
LeDeepChef: Deep Reinforcement Learning Agent for Families of Text-Based Games—0
Reusing Convolutional Activations from Frame to Frame to Speed up Training and InferenceCode0
Performing Deep Recurrent Double Q-Learning for Atari GamesCode0
Is Deep Reinforcement Learning Really Superhuman on Atari? Leveling the playing fieldCode0
Benchmarking Bonus-Based Exploration Methods on the Arcade Learning Environment—0
Hindsight Trust Region Policy OptimizationCode0
Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning—0
Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards—0
Characterizing Attacks on Deep Reinforcement LearningCode0
Accelerating Reinforcement Learning through GPU Atari EmulationCode0
In Hindsight: A Smooth Reward for Steady Exploration—0
Deep Conservative Policy Iteration—0
Reward Prediction Error as an Exploration Objective in Deep RL—0
Learning Powerful Policies by Using Consistent Dynamics ModelCode0
Clustered Reinforcement Learning—0
Reinforcement Learning with Low-Complexity Liquid State MachinesCode0
CopyCAT: Taking Control of Neural Policies with Constant Attacks—0
Beyond Exponentially Discounted Sum: Automatic Learning of Return Function—0
Exploration via Flow-Based Intrinsic RewardsCode0
Combining Experience Replay with Exploration by Random Network DistillationCode0
Distributional Reinforcement Learning for Efficient Exploration—0
Accelerated Target Updates for Q-learning—0
Towards Consistent Performance on Atari using Expert Demonstrations—0
Learning Abstract Models for Long-Horizon Exploration—0
Recurrent Experience Replay in Distributed Reinforcement LearningCode0
Learning to Control Visual Abstractions for Structured Exploration in Deep Reinforcement Learning—0
Compression and Localization in Reinforcement Learning for ATARI Games—0
Let's Play Again: Variability of Deep Reinforcement Learning Agents in Atari EnvironmentsCode0
Deep Policies for Width-Based Planning in Pixel DomainsCode0
Reinforcement Learning with Attention that Works: A Self-Supervised Approach—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GDI-I3Score864—Unverified
2GDI-H3Score864—Unverified
3GDI-H3(200M frames)Score864—Unverified
4GDI-I3(200M frames)Score864—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
2TRPO-hashScore34—Unverified
3GDI-H3(200M frames)Score34—Unverified
4GDI-I3Score34—Unverified
5Go-ExploreScore34—Unverified
6QR-DQN-1Score34—Unverified
7NoisyNet-DuelingScore34—Unverified
8GDI-H3Score34—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-H3(200M frames)Score1,000,000—Unverified
2GDI-H3Score1,000,000—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