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
The Benefits of Being Categorical Distributional: Uncertainty-aware Regularized Exploration in Reinforcement Learning0
How to Sense the World: Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning AgentsCode0
An Unsupervised Video Game Playstyle Metric via State DiscretizationCode0
Is Policy Learning Overrated?: Width-Based Planning and Active Learning for AtariCode0
CrowdPlay: Crowdsourcing human demonstration data for offline learning in Atari games0
Faster Reinforcement Learning with Value Target Lower Bounding0
Training with Worst-Case Distributional Shift causes Overestimation and Inaccuracies in State-Action Value Functions0
EqR: Equivariant Representations for Data-Efficient Reinforcement Learning0
Self-Supervised Structured Representations for Deep Reinforcement Learning0
P4O: Efficient Deep Reinforcement Learning with Predictive Processing Proximal Policy Optimization0
Should I Run Offline Reinforcement Learning or Behavioral Cloning?0
Distributional Perturbation for Efficient Exploration in Distributional Reinforcement Learning0
Maximizing Ensemble Diversity in Deep Reinforcement Learning0
Deep Learning of Intrinsically Motivated Options in the Arcade Learning Environment0
Towards Understanding Distributional Reinforcement Learning: Regularization, Optimization, Acceleration and Sinkhorn Algorithm0
On Bonus-Based Exploration Methods in the Arcade Learning Environment0
A Distance-based Anomaly Detection Framework for Deep Reinforcement Learning0
WAD: A Deep Reinforcement Learning Agent for Urban Autonomous Driving0
An Approach to Partial Observability in Games: Learning to Both Act and Observe0
High Performance Across Two Atari Paddle Games Using the Same Perceptual Control Architecture Without Training0
Cautious Policy Programming: Exploiting KL Regularization in Monotonic Policy Improvement for Reinforcement Learning0
Estimates for the Branching Factors of Atari GamesCode0
Ensemble and Auxiliary Tasks for Data-Efficient Deep Reinforcement LearningCode0
Improve Agents without Retraining: Parallel Tree Search with Off-Policy CorrectionCode0
Width-based Lookaheads with Learnt Base Policies and Heuristics Over the Atari-2600 Benchmark0
Emphatic Algorithms for Deep Reinforcement Learning0
Non-Robust Feature Mapping in Deep Reinforcement Learning0
CROP: Certifying Robust Policies for Reinforcement Learning through Functional SmoothingCode0
Real-time Adversarial Perturbations against Deep Reinforcement Learning Policies: Attacks and DefensesCode0
Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond Linearity0
GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning0
Towards Practical Credit Assignment for Deep Reinforcement Learning0
MICo: Improved representations via sampling-based state similarity for Markov decision processesCode0
An Entropy Regularization Free Mechanism for Policy-based Reinforcement Learning0
Provable Representation Learning for Imitation with Contrastive Fourier FeaturesCode0
GMAC: A Distributional Perspective on Actor-Critic Framework0
Reinforcement Learning With Sparse-Executing Actions via Sparsity Regularization0
Non-decreasing Quantile Function Network with Efficient Exploration for Distributional Reinforcement Learning0
Return-based Scaling: Yet Another Normalisation Trick for Deep RL0
CASA: Bridging the Gap between Policy Improvement and Policy Evaluation with Conflict Averse Policy Iteration0
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning0
InferNet for Delayed Reinforcement Tasks: Addressing the Temporal Credit Assignment Problem0
Adapting to Reward Progressivity via Spectral Reinforcement LearningCode0
Action Advising with Advice Imitation in Deep Reinforcement LearningCode0
Learning on a Budget via Teacher ImitationCode0
Bayesian Distributional Policy Gradients0
Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning0
Conservative Optimistic Policy Optimization via Multiple Importance SamplingCode0
Addressing Action Oscillations through Learning Policy Inertia0
Ensemble Bootstrapping for Q-Learning0
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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