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 151–200 of 625 papers

TitleStatusHype
Stop Regressing: Training Value Functions via Classification for Scalable Deep RL—0
Iterated Q-Network: Beyond One-Step Bellman Updates in Deep Reinforcement Learning—0
Disentangling the Causes of Plasticity Loss in Neural Networks—0
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 Approach—0
Neural Policy Style Transfer—0
The Indoor-Training Effect: unexpected gains from distribution shifts in the transition function—0
A Robust Quantile Huber Loss With Interpretable Parameter Adjustment In Distributional Reinforcement LearningCode0
Distributional Bellman Operators over Mean EmbeddingsCode0
Visual Encoders for Data-Efficient Imitation Learning in Modern Video Games—0
Minimax Exploiter: A Data Efficient Approach for Competitive Self-Play—0
Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning—0
Evaluating Pretrained models for Deployable Lifelong Learning—0
From "What" to "When" -- a Spiking Neural Network Predicting Rare Events and Time to their Occurrence—0
Reward Scale Robustness for Proximal Policy Optimization via DreamerV3 Tricks—0
DSAC-C: Constrained Maximum Entropy for Robust Discrete Soft-Actor Critic—0
Towards Control-Centric Representations in Reinforcement Learning from Images—0
Absolute Policy OptimizationCode0
Learning Actions and Control of Focus of Attention with a Log-Polar-like Sensor—0
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 RL—0
Bag of Policies for Distributional Deep Exploration—0
Approximate Model-Based Shielding for Safe Reinforcement LearningCode0
Elastic Decision Transformer—0
Action Q-Transformer: Visual Explanation in Deep Reinforcement Learning with Encoder-Decoder Model using Action Query—0
Can Differentiable Decision Trees Enable Interpretable Reward Learning from Human Feedback?Code0
The RL Perceptron: Generalisation Dynamics of Policy Learning in High Dimensions—0
Vanishing Bias Heuristic-guided Reinforcement Learning Algorithm—0
Recurrent Action Transformer with MemoryCode0
Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust Decisions—0
Successor-Predecessor Intrinsic Exploration—0
Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection—0
Unlocking the Power of Representations in Long-term Novelty-based Exploration—0
Proto-Value Networks: Scaling Representation Learning with Auxiliary TasksCode0
Approximate Shielding of Atari Agents for Safe Exploration—0
Unsupervised Representation Learning in Partially Observable Atari GamesCode0
Loss of Plasticity in Continual Deep Reinforcement Learning—0
Double A3C: Deep Reinforcement Learning on OpenAI Gym Games—0
Understanding plasticity in neural networks—0
Self-supervised network distillation: an effective approach to exploration in sparse reward environmentsCode0
Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals—0
Enabling surrogate-assisted evolutionary reinforcement learning via policy embedding—0
Revisiting Bellman Errors for Offline Model SelectionCode0
Generalized Munchausen Reinforcement Learning using Tsallis KL Divergence—0
Scalable Real-Time Recurrent Learning Using Columnar-Constructive NetworksCode0
Multi-compartment Neuron and Population Encoding Powered Spiking Neural Network for Deep Distributional Reinforcement Learning—0
Learning to Perceive in Deep Model-Free Reinforcement LearningCode0
Local-Guided Global: Paired Similarity Representation for Visual Reinforcement Learning—0
Show:102550
← PrevPage 4 of 13Next →
All datasetsAtari 2600 BreakoutAtari 2600 FreewayAtari 2600 Q*BertAtari 2600 SeaquestAtari 2600 VentureAtari 2600 Space InvadersAtari 2600 FrostbiteAtari 2600 GravitarAtari 2600 PongAtari 2600 Private EyeAtari 2600 Montezuma's RevengeAtari 2600 Alien

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