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Atari Games On Atari 2600 Zaxxon

Metrics

Score

Results

Performance results of various models on this benchmark

Model Name
Score
Paper TitleRepository
Best Learner3365.1The Arcade Learning Environment: An Evaluation Platform for General Agents-
DQN hs4412.0Deep Reinforcement Learning with Double Q-learning-
DreamerV250699Mastering Atari with Discrete World Models-
NoisyNet-Dueling14874Noisy Networks for Exploration-
IQN21772Implicit Quantile Networks for Distributional Reinforcement Learning-
RIMs-PPO15000Recurrent Independent Mechanisms-
DDQN+Pop-Art noop14402.0Learning values across many orders of magnitude-
DNA22588DNA: Proximal Policy Optimization with a Dual Network Architecture-
QR-DQN-113112Distributional Reinforcement Learning with Quantile Regression-
Prior+Duel noop13886.0Dueling Network Architectures for Deep Reinforcement Learning-
Agent57249808.9Agent57: Outperforming the Atari Human Benchmark-
GDI-H3216020Generalized Data Distribution Iteration-
MuZero (Res2 Adam)154131.86Online and Offline Reinforcement Learning by Planning with a Learned Model-
GDI-I3109140Generalized Data Distribution Iteration-
IMPALA (deep)32935.50IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures-
Gorila6159.4Massively Parallel Methods for Deep Reinforcement Learning-
Prior hs9474.0Prioritized Experience Replay-
A3C FF (1 day) hs2659.0Asynchronous Methods for Deep Reinforcement Learning-
POP3D9472Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization-
Advantage Learning9129.61Increasing the Action Gap: New Operators for Reinforcement Learning-
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Atari Games On Atari 2600 Zaxxon | SOTA | HyperAI