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HyperAI超神経

Atari Games On Atari 2600 Double Dunk

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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
QR-DQN-121.9Distributional Reinforcement Learning with Quantile Regression
MuZero23.94Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
A2C + SIL21.5Self-Imitation Learning
Duel noop0.1Dueling Network Architectures for Deep Reinforcement Learning
Gorila-11.3Massively Parallel Methods for Deep Reinforcement Learning
IQN5.6Implicit Quantile Networks for Distributional Reinforcement Learning
Prior+Duel noop-12.5Dueling Network Architectures for Deep Reinforcement Learning
DDQN (tuned) hs-0.3Deep Reinforcement Learning with Double Q-learning
IMPALA (deep)-0.33IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
GDI-I324Generalized Data Distribution Iteration-
Prior noop18.5Prioritized Experience Replay
DreamerV217Mastering Atari with Discrete World Models
Prior+Duel hs-10.7Deep Reinforcement Learning with Double Q-learning
DQN noop-6.6Deep Reinforcement Learning with Double Q-learning
UCT24The Arcade Learning Environment: An Evaluation Platform for General Agents
DDQN+Pop-Art noop-11.5Learning values across many orders of magnitude-
A3C FF (1 day) hs0.1Asynchronous Methods for Deep Reinforcement Learning
Nature DQN-18.1Human level control through deep reinforcement learning
SARSA-16.0--
DDQN (tuned) noop-5.5Dueling Network Architectures for Deep Reinforcement Learning
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