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Atari Games On Atari 2600 Surround

Metrics

Score

Results

Performance results of various models on this benchmark

Model Name
Score
Paper TitleRepository
MuZero (Res2 Adam)9.9Online and Offline Reinforcement Learning by Planning with a Learned Model-
Agent579.5Agent57: Outperforming the Atari Human Benchmark-
DNA5.3DNA: Proximal Policy Optimization with a Dual Network Architecture-
Persistent AL0.72Increasing the Action Gap: New Operators for Reinforcement Learning-
GDI-H32.606Generalized Data Distribution Iteration-
IMPALA (deep)7.56IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures-
NoisyNet-Dueling10Noisy Networks for Exploration-
GDI-I3-7.8Generalized Data Distribution Iteration-
Ape-X7.1Distributed Prioritized Experience Replay-
QR-DQN-18.2Distributional Reinforcement Learning with Quantile Regression-
ASL DDQN2.5Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity-
R2D29.9Recurrent Experience Replay in Distributed Reinforcement Learning-
IQN9.4Implicit Quantile Networks for Distributional Reinforcement Learning-
MuZero9.99Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model-
GDI-I3-7.8GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning-
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Atari Games On Atari 2600 Surround | SOTA | HyperAI