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 51100 of 625 papers

TitleStatusHype
Adaptive Q-Network: On-the-fly Target Selection for Deep Reinforcement Learning0
Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation ModelsCode2
Interpretable and Editable Programmatic Tree Policies for Reinforcement LearningCode1
Learning To Play Atari Games Using Dueling Q-Learning and Hebbian PlasticityCode0
Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?Code0
Utilizing Maximum Mean Discrepancy Barycenter for Propagating the Uncertainty of Value Functions in Reinforcement Learning0
Stop Regressing: Training Value Functions via Classification for Scalable Deep RL0
Iterated Q-Network: Beyond One-Step Bellman Updates in Deep Reinforcement Learning0
Disentangling the Causes of Plasticity Loss in Neural Networks0
Echoes of Socratic Doubt: Embracing Uncertainty in Calibrated Evidential Reinforcement LearningCode0
Solving Deep Reinforcement Learning Tasks with Evolution Strategies and Linear Policy NetworksCode0
Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice via HyperAgentCode0
Control in Stochastic Environment with Delays: A Model-based Reinforcement Learning Approach0
Neural Policy Style Transfer0
The Indoor-Training Effect: unexpected gains from distribution shifts in the transition function0
A Robust Quantile Huber Loss With Interpretable Parameter Adjustment In Distributional Reinforcement LearningCode0
Active Reinforcement Learning for Robust Building ControlCode1
Distributional Bellman Operators over Mean EmbeddingsCode0
Visual Encoders for Data-Efficient Imitation Learning in Modern Video Games0
Minimax Exploiter: A Data Efficient Approach for Competitive Self-Play0
Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning0
Evaluating Pretrained models for Deployable Lifelong Learning0
From "What" to "When" -- a Spiking Neural Network Predicting Rare Events and Time to their Occurrence0
DSAC-C: Constrained Maximum Entropy for Robust Discrete Soft-Actor Critic0
Reward Scale Robustness for Proximal Policy Optimization via DreamerV3 Tricks0
Towards Control-Centric Representations in Reinforcement Learning from Images0
Absolute Policy OptimizationCode0
MiniZero: Comparative Analysis of AlphaZero and MuZero on Go, Othello, and Atari GamesCode1
PGDQN: Preference-Guided Deep Q-NetworkCode1
Learning Actions and Control of Focus of Attention with a Log-Polar-like Sensor0
Learning of Generalizable and Interpretable Knowledge in Grid-Based Reinforcement Learning EnvironmentsCode0
Soft Decomposed Policy-Critic: Bridging the Gap for Effective Continuous Control with Discrete RL0
Beyond Surprise: Improving Exploration Through Surprise NoveltyCode1
Bag of Policies for Distributional Deep Exploration0
Approximate Model-Based Shielding for Safe Reinforcement LearningCode0
Scaling Laws for Imitation Learning in Single-Agent GamesCode1
Elastic Decision Transformer0
Action Q-Transformer: Visual Explanation in Deep Reinforcement Learning with Encoder-Decoder Model using Action Query0
Can Differentiable Decision Trees Enable Interpretable Reward Learning from Human Feedback?Code0
The RL Perceptron: Generalisation Dynamics of Policy Learning in High Dimensions0
Vanishing Bias Heuristic-guided Reinforcement Learning Algorithm0
Recurrent Action Transformer with MemoryCode0
OCAtari: Object-Centric Atari 2600 Reinforcement Learning EnvironmentsCode1
Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust Decisions0
Think Before You Act: Decision Transformers with Working MemoryCode1
Successor-Predecessor Intrinsic Exploration0
Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection0
Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized DiversityCode1
Unlocking the Power of Representations in Long-term Novelty-based Exploration0
Proto-Value Networks: Scaling Representation Learning with Auxiliary TasksCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GDI-H3(200M frames)Score864Unverified
2GDI-H3Score864Unverified
3GDI-I3(200M frames)Score864Unverified
4GDI-I3Score864Unverified
5Bootstrapped DQNScore855Unverified
6FQFScore854.2Unverified
7R2D2Score837.7Unverified
8Ape-XScore800.9Unverified
9Agent57Score790.4Unverified
10IMPALA (deep)Score787.34Unverified
#ModelMetricClaimedVerifiedStatus
1GDI-I3Score34Unverified
2NoisyNet-DuelingScore34Unverified
3GDI-H3Score34Unverified
4TRPO-hashScore34Unverified
5IQNScore34Unverified
6QR-DQN-1Score34Unverified
7GDI-H3(200M frames)Score34Unverified
8Go-ExploreScore34Unverified
9ASL DDQNScore33.9Unverified
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-H3(200M frames)Score1,000,000Unverified
2GDI-H3Score1,000,000Unverified
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