HyperAI超神経

Atari Games On Atari 2600 Solaris

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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
CGP8324Evolving simple programs for playing Atari games
R2D23787.2Recurrent Experience Replay in Distributed Reinforcement Learning-
MuZero (Res2 Adam)5132.95Online and Offline Reinforcement Learning by Planning with a Learned Model
DNA2225DNA: Proximal Policy Optimization with a Dual Network Architecture
NoisyNet-Dueling6522Noisy Networks for Exploration
SND-VIC11865Self-supervised network distillation: an effective approach to exploration in sparse reward environments
GDI-H39105Generalized Data Distribution Iteration-
MuZero56.62Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
IMPALA (deep)2365.00IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
GDI-I311074Generalized Data Distribution Iteration-
GDI-I311074GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning-
RND3282Exploration by Random Network Distillation
Advantage Learning4785.16Increasing the Action Gap: New Operators for Reinforcement Learning
SND-STD12460Self-supervised network distillation: an effective approach to exploration in sparse reward environments
Ape-X2892.9Distributed Prioritized Experience Replay
IQN8007Implicit Quantile Networks for Distributional Reinforcement Learning
ASL DDQN3506.8Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity-
DreamerV2922Mastering Atari with Discrete World Models
SND-V11582Self-supervised network distillation: an effective approach to exploration in sparse reward environments
Go-Explore19671First return, then explore
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