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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–150 of 625 papers

TitleStatusHype
WILD-SCAV: Benchmarking FPS Gaming AI on Unity3D-based EnvironmentsCode1
NovelD: A Simple yet Effective Exploration CriterionCode1
Eigenoption Discovery through the Deep Successor RepresentationCode1
Spectral Inference Networks: Unifying Deep and Spectral LearningCode1
Discovering Reinforcement Learning AlgorithmsCode1
Activation by Interval-wise Dropout: A Simple Way to Prevent Neural Networks from Plasticity Loss—0
Adventurer: Exploration with BiGAN for Deep Reinforcement Learning—0
EqR: Equivariant Representations for Data-Efficient Reinforcement Learning—0
A Distance-based Anomaly Detection Framework for Deep Reinforcement Learning—0
Episodic Memory Deep Q-Networks—0
Episodic Reinforcement Learning with Associative Memory—0
Escape Room: A Configurable Testbed for Hierarchical Reinforcement Learning—0
A Review for Deep Reinforcement Learning in Atari:Benchmarks, Challenges, and Solutions—0
Enabling surrogate-assisted evolutionary reinforcement learning via policy embedding—0
Convex Regularization in Monte-Carlo Tree Search—0
Accelerating Deep Neuroevolution on Distributed FPGAs for Reinforcement Learning Problems—0
Control in Stochastic Environment with Delays: A Model-based Reinforcement Learning Approach—0
Emphatic Algorithms for Deep Reinforcement Learning—0
A Review for Deep Reinforcement Learning in Atari: Benchmarks, Challenges, and Solutions—0
A Simple Imitation Learning Method via Contrastive Regularization—0
CrowdPlay: Crowdsourcing human demonstration data for offline learning in Atari games—0
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments—0
A Deep Learning Approach for Joint Video Frame and Reward Prediction in Atari Games—0
Data Efficient Training for Reinforcement Learning with Adaptive Behavior Policy Sharing—0
Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces—0
Towards Understanding Asynchronous Advantage Actor-critic: Convergence and Linear Speedup—0
Action Q-Transformer: Visual Explanation in Deep Reinforcement Learning with Encoder-Decoder Model using Action Query—0
Emergence of Novelty in Evolutionary Algorithms—0
Ensemble Bootstrapping for Q-Learning—0
Evaluating Pretrained models for Deployable Lifelong Learning—0
A Principled Path to Fitted Distributional Evaluation—0
Contingency-Aware Exploration in Reinforcement Learning—0
Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards—0
Constraining Action Sequences with Formal Languages for Deep Reinforcement Learning—0
Approximate Shielding of Atari Agents for Safe Exploration—0
Automatic Reward Shaping from Confounded Offline Data—0
Efficiently Guiding Imitation Learning Agents with Human Gaze—0
Efficient decorrelation of features using Gramian in Reinforcement Learning—0
A Decentralized Policy Gradient Approach to Multi-task Reinforcement Learning—0
Efficient Diversity-based Experience Replay for Deep Reinforcement Learning—0
Compute- and Memory-Efficient Reinforcement Learning with Latent Experience Replay—0
APF+: Boosting adaptive-potential function reinforcement learning methods with a W-shaped network for high-dimensional games—0
Efficient Entropy for Policy Gradient with Multidimensional Action Space—0
Compression and Localization in Reinforcement Learning for ATARI Games—0
Combining policy gradient and Q-learning—0
Addressing Action Oscillations through Learning Policy Inertia—0
Combining Off and On-Policy Training in Model-Based Reinforcement Learning—0
DSAC-C: Constrained Maximum Entropy for Robust Discrete Soft-Actor Critic—0
Dynamic Frame skip Deep Q Network—0
Accelerated Value Iteration via Anderson Mixing—0
Show:102550
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Benchmark Results

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