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 251–300 of 625 papers

TitleStatusHype
A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction—0
Generalized Munchausen Reinforcement Learning using Tsallis KL Divergence—0
GMAC: A Distributional Perspective on Actor-Critic Framework—0
Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search—0
Deep Reinforcement Learning with Quantum-inspired Experience Replay—0
Deep Reinforcement Learning With Macro-Actions—0
Bag of Policies for Distributional Deep Exploration—0
Deep Reinforcement Learning with Implicit Human Feedback—0
Adapting Behaviour for Learning Progress—0
Adapting Auxiliary Losses Using Gradient Similarity—0
Learning values across many orders of magnitude—0
Deep Reinforcement Learning with Decorrelation—0
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning—0
Learning to play slot cars and Atari 2600 games in just minutes—0
Deep Reinforcement Learning Policies Learn Shared Adversarial Features Across MDPs—0
Avoiding Catastrophic States with Intrinsic Fear—0
A Human Mixed Strategy Approach to Deep Reinforcement Learning—0
Learning to predict where to look in interactive environments using deep recurrent q-learning—0
Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning—0
AGIL: Learning Attention from Human for Visuomotor Tasks—0
Learning to Control Visual Abstractions for Structured Exploration in Deep Reinforcement Learning—0
Learning Self-Game-Play Agents for Combinatorial Optimization Problems—0
Improving the Diversity of Bootstrapped DQN by Replacing Priors With Noise—0
Learning Shared Dynamics with Meta-World Models—0
Learning To Explore With Predictive World Model Via Self-Supervised Learning—0
Learning to Represent Action Values as a Hypergraph on the Action Vertices—0
LeDeepChef: Deep Reinforcement Learning Agent for Families of Text-Based Games—0
Improving On-policy Learning with Statistical Reward Accumulation—0
Improving Experience Replay with Successor Representation—0
Deep Reinforcement Learning Boosted by External Knowledge—0
Learning Efficient Planning-based Rewards for Imitation Learning—0
Deep Q-Network for AI Soccer—0
Learning Dialog Policies from Weak Demonstrations—0
Attention or memory? Neurointerpretable agents in space and time—0
Learning and Querying Fast Generative Models for Reinforcement Learning—0
Improving Performance of Spike-based Deep Q-Learning using Ternary Neurons—0
Learning Dynamic State Abstractions for Model-Based Reinforcement Learning—0
Improving width-based planning with compact policies—0
Deep Reinforcement Learning for Doom using Unsupervised Auxiliary Tasks—0
A Unified Perspective on Value Backup and Exploration in Monte-Carlo Tree Search—0
InferNet for Delayed Reinforcement Tasks: Addressing the Temporal Credit Assignment Problem—0
Deep Reinforcement Learning for NLP—0
In Hindsight: A Smooth Reward for Steady Exploration—0
Learning Finite State Representations of Recurrent Policy Networks—0
Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection—0
Interpretable end-to-end Neurosymbolic Reinforcement Learning agents—0
Interpreting the Learned Model in MuZero Planning—0
Deep Q-Learning with Low Switching Cost—0
Learning Abstract Models for Long-Horizon Exploration—0
Attention Option-Critic—0
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Benchmark Results

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