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 351–375 of 625 papers

TitleStatusHype
Convex Regularization in Monte-Carlo Tree Search—0
Reinforcement Learning and its Connections with Neuroscience and Psychology—0
RL Unplugged: A Suite of Benchmarks for Offline Reinforcement LearningCode0
On Effective Parallelization of Monte Carlo Tree Search—0
A Decentralized Policy Gradient Approach to Multi-task Reinforcement Learning—0
The Value-Improvement Path: Towards Better Representations for Reinforcement Learning—0
Gradient Monitored Reinforcement Learning—0
A Metric Learning Approach to Anomaly Detection in Video GamesCode0
Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency MapsCode0
A Simple Imitation Learning Method via Contrastive Regularization—0
Accelerating Deep Neuroevolution on Distributed FPGAs for Reinforcement Learning Problems—0
Model Based Reinforcement Learning for Atari—0
Explain Your Move: Understanding Agent Actions Using Focused Feature SaliencyCode0
Episodic Reinforcement Learning with Associative Memory—0
Learning Dialog Policies from Weak Demonstrations—0
Self Punishment and Reward Backfill for Deep Q-LearningCode0
Using Generative Adversarial Nets on Atari Games for Feature Extraction in Deep Reinforcement Learning—0
Exploring Unknown States with Action BalanceCode0
Relevance-Guided Modeling of Object Dynamics for Reinforcement Learning—0
A Self-Tuning Actor-Critic Algorithm—0
On Catastrophic Interference in Atari 2600 GamesCode0
Efficiently Guiding Imitation Learning Agents with Human Gaze—0
ConQUR: Mitigating Delusional Bias in Deep Q-learningCode0
Disentangling Controllable Object through Video Prediction Improves Visual Reinforcement Learning—0
Value-driven Hindsight Modelling—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GDI-H3(200M frames)Score864—Unverified
2GDI-I3(200M frames)Score864—Unverified
3GDI-I3Score864—Unverified
4GDI-H3Score864—Unverified
5Bootstrapped DQNScore855—Unverified
6FQFScore854.2—Unverified
7R2D2Score837.7—Unverified
8Ape-XScore800.9—Unverified
9Agent57Score790.4—Unverified
10IMPALA (deep)Score787.34—Unverified
#ModelMetricClaimedVerifiedStatus
1GDI-I3Score34—Unverified
2Go-ExploreScore34—Unverified
3IQNScore34—Unverified
4QR-DQN-1Score34—Unverified
5GDI-H3Score34—Unverified
6GDI-H3(200M frames)Score34—Unverified
7TRPO-hashScore34—Unverified
8NoisyNet-DuelingScore34—Unverified
9C51 noopScore33.9—Unverified
10Bootstrapped DQNScore33.9—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