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Atari Games On Atari 2600 Assault

評価指標

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評価結果

このベンチマークにおける各モデルのパフォーマンス結果

モデル名
Score
Paper TitleRepository
Reactor 500M8323.3The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning-
Bootstrapped DQN8047.1Deep Exploration via Bootstrapped DQN
CGP890.4Evolving simple programs for playing Atari games
Ape-X24559.4Distributed Prioritized Experience Replay
A3C LSTM hs14497.9Asynchronous Methods for Deep Reinforcement Learning
DQN noop4280.4Deep Reinforcement Learning with Double Q-learning
A3C FF hs5474.9Asynchronous Methods for Deep Reinforcement Learning
Agent5767212.67Agent57: Outperforming the Atari Human Benchmark
Prior+Duel noop11477.0Dueling Network Architectures for Deep Reinforcement Learning
Prior+Duel hs10950.6Dueling Network Architectures for Deep Reinforcement Learning
Gorila1195.8Massively Parallel Methods for Deep Reinforcement Learning
SAC350Soft Actor-Critic for Discrete Action Settings
Advantage Learning3661.51Increasing the Action Gap: New Operators for Reinforcement Learning
DDQN (tuned) hs6060.8Deep Reinforcement Learning with Double Q-learning
Prior+Duel hs10950.6Deep Reinforcement Learning with Double Q-learning
Persistent AL3304.33Increasing the Action Gap: New Operators for Reinforcement Learning
C51 noop7203.0A Distributional Perspective on Reinforcement Learning
DDQN (tuned) noop5393.2Dueling Network Architectures for Deep Reinforcement Learning
Duel noop4621.0Dueling Network Architectures for Deep Reinforcement Learning
Duel hs3994.8Dueling Network Architectures for Deep Reinforcement Learning
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