Atari Games On Atari 2600 Solaris

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이 벤치마크에서 각 모델의 성능 결과

모델 이름	Score	Paper Title	Repository
CGP	8324	Evolving simple programs for playing Atari games
R2D2	3787.2	Recurrent Experience Replay in Distributed Reinforcement Learning	-
MuZero (Res2 Adam)	5132.95	Online and Offline Reinforcement Learning by Planning with a Learned Model
DNA	2225	DNA: Proximal Policy Optimization with a Dual Network Architecture
NoisyNet-Dueling	6522	Noisy Networks for Exploration
SND-VIC	11865	Self-supervised network distillation: an effective approach to exploration in sparse reward environments
GDI-H3	9105	Generalized Data Distribution Iteration	-
MuZero	56.62	Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
IMPALA (deep)	2365.00	IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
GDI-I3	11074	Generalized Data Distribution Iteration	-
GDI-I3	11074	GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning	-
RND	3282	Exploration by Random Network Distillation
Advantage Learning	4785.16	Increasing the Action Gap: New Operators for Reinforcement Learning
SND-STD	12460	Self-supervised network distillation: an effective approach to exploration in sparse reward environments
Ape-X	2892.9	Distributed Prioritized Experience Replay
IQN	8007	Implicit Quantile Networks for Distributional Reinforcement Learning
ASL DDQN	3506.8	Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity	-
DreamerV2	922	Mastering Atari with Discrete World Models
SND-V	11582	Self-supervised network distillation: an effective approach to exploration in sparse reward environments
Go-Explore	19671	First return, then explore

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