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Atari Games On Atari 2600 Chopper Command

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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
A2C + SIL6710Self-Imitation Learning
Advantage Learning5431.36Increasing the Action Gap: New Operators for Reinforcement Learning
GDI-H3999999GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning-
CGP3580Evolving simple programs for playing Atari games
Prior hs4635.0Prioritized Experience Replay
NoisyNet-Dueling11477Noisy Networks for Exploration
R2D2986652.0Recurrent Experience Replay in Distributed Reinforcement Learning-
POP3D6308.33Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization
Ape-X721851Distributed Prioritized Experience Replay
DQN noop6126.0Deep Reinforcement Learning with Double Q-learning
Prior+Duel hs8058.0Deep Reinforcement Learning with Double Q-learning
DQN hs5017.0Deep Reinforcement Learning with Double Q-learning
MuZero991039.70Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
IQN16836Implicit Quantile Networks for Distributional Reinforcement Learning
Gorila3191.8Massively Parallel Methods for Deep Reinforcement Learning
Reactor 500M107779.0The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning-
DNA31181DNA: Proximal Policy Optimization with a Dual Network Architecture
FQF876460.0Fully Parameterized Quantile Function for Distributional Reinforcement Learning
A3C LSTM hs10150.0Asynchronous Methods for Deep Reinforcement Learning
C51 noop15600.0A Distributional Perspective on Reinforcement Learning
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