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 126–150 of 625 papers

TitleStatusHype
Towards Understanding Asynchronous Advantage Actor-critic: Convergence and Linear Speedup—0
Action Q-Transformer: Visual Explanation in Deep Reinforcement Learning with Encoder-Decoder Model using Action Query—0
Emergence of Novelty in Evolutionary Algorithms—0
Ensemble Bootstrapping for Q-Learning—0
Evaluating Pretrained models for Deployable Lifelong Learning—0
A Principled Path to Fitted Distributional Evaluation—0
Contingency-Aware Exploration in Reinforcement Learning—0
Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards—0
Constraining Action Sequences with Formal Languages for Deep Reinforcement Learning—0
Approximate Shielding of Atari Agents for Safe Exploration—0
Automatic Reward Shaping from Confounded Offline Data—0
Efficiently Guiding Imitation Learning Agents with Human Gaze—0
Efficient decorrelation of features using Gramian in Reinforcement Learning—0
A Decentralized Policy Gradient Approach to Multi-task Reinforcement Learning—0
Efficient Diversity-based Experience Replay for Deep Reinforcement Learning—0
Compute- and Memory-Efficient Reinforcement Learning with Latent Experience Replay—0
APF+: Boosting adaptive-potential function reinforcement learning methods with a W-shaped network for high-dimensional games—0
Efficient Entropy for Policy Gradient with Multidimensional Action Space—0
Compression and Localization in Reinforcement Learning for ATARI Games—0
Combining policy gradient and Q-learning—0
Addressing Action Oscillations through Learning Policy Inertia—0
Combining Off and On-Policy Training in Model-Based Reinforcement Learning—0
DSAC-C: Constrained Maximum Entropy for Robust Discrete Soft-Actor Critic—0
Dynamic Frame skip Deep Q Network—0
Accelerated Value Iteration via Anderson Mixing—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GDI-H3(200M frames)Score864—Unverified
2GDI-H3Score864—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
1GDI-I3Score34—Unverified
2NoisyNet-DuelingScore34—Unverified
3GDI-H3Score34—Unverified
4TRPO-hashScore34—Unverified
5IQNScore34—Unverified
6QR-DQN-1Score34—Unverified
7GDI-H3(200M frames)Score34—Unverified
8Go-ExploreScore34—Unverified
9ASL DDQNScore33.9—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