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 201–250 of 625 papers

TitleStatusHype
Combining Off and On-Policy Training in Model-Based Reinforcement Learning—0
Latent forward model for Real-time Strategy game planning with incomplete information—0
Ensemble Bootstrapping for Q-Learning—0
Episodic Memory Deep Q-Networks—0
Episodic Reinforcement Learning with Associative Memory—0
EqR: Equivariant Representations for Data-Efficient Reinforcement Learning—0
Escape Room: A Configurable Testbed for Hierarchical Reinforcement Learning—0
Compute- and Memory-Efficient Reinforcement Learning with Latent Experience Replay—0
Improving Experience Replay with Successor Representation—0
Evaluating Pretrained models for Deployable Lifelong Learning—0
Evolutionary Reinforcement Learning via Cooperative Coevolutionary Negatively Correlated Search—0
Improving the Diversity of Bootstrapped DQN by Replacing Priors With Noise—0
Disentangling the Causes of Plasticity Loss in Neural Networks—0
Disentangling Controllable Object through Video Prediction Improves Visual Reinforcement Learning—0
Approximate Shielding of Atari Agents for Safe Exploration—0
Execute Order 66: Targeted Data Poisoning for Reinforcement Learning—0
Explaining Deep Reinforcement Learning Agents In The Atari Domain through a Surrogate Model—0
Constraining Action Sequences with Formal Languages for Deep Reinforcement Learning—0
Contingency-Aware Exploration in Reinforcement Learning—0
Benchmarking Bonus-Based Exploration Methods on the Arcade Learning Environment—0
Explanation Augmented Feedback in Human-in-the-Loop Reinforcement Learning—0
Smaller World Models for Reinforcement Learning—0
Analysing Results from AI Benchmarks: Key Indicators and How to Obtain Them—0
Exploration by Random Network Distillation—0
A Deep Learning Approach for Joint Video Frame and Reward Prediction in Atari Games—0
Exploration by Uncertainty in Reward Space—0
A Comparison of learning algorithms on the Arcade Learning Environment—0
A Review for Deep Reinforcement Learning in Atari: Benchmarks, Challenges, and Solutions—0
Control in Stochastic Environment with Delays: A Model-based Reinforcement Learning Approach—0
Learning values across many orders of magnitude—0
Machine versus Human Attention in Deep Reinforcement Learning Tasks—0
Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust Decisions—0
Convex Regularization in Monte-Carlo Tree Search—0
Faster Reinforcement Learning with Value Target Lower Bounding—0
An advantage actor-critic algorithm for robotic motion planning in dense and dynamic scenarios—0
A Review for Deep Reinforcement Learning in Atari:Benchmarks, Challenges, and Solutions—0
Improving width-based planning with compact policies—0
Loss of Plasticity in Continual Deep Reinforcement Learning—0
Bayesian Q-learning With Imperfect Expert Demonstrations—0
Adversary Agnostic Robust Deep Reinforcement Learning—0
Bayesian Distributional Policy Gradients—0
From Code to Play: Benchmarking Program Search for Games Using Large Language Models—0
Deep Reinforcement Learning with Spiking Q-learning—0
CrowdPlay: Crowdsourcing human demonstration data for offline learning in Atari games—0
GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning—0
GDI: Rethinking What Makes Reinforcement Learning Different from Supervised Learning—0
A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction—0
High Performance Across Two Atari Paddle Games Using the Same Perceptual Control Architecture Without Training—0
Data Efficient Training for Reinforcement Learning with Adaptive Behavior Policy Sharing—0
Deep Reinforcement Learning with Quantum-inspired Experience Replay—0
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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