Atari Games On Atari 2600 Solaris

Metrics

Score

Results

Performance results of various models on this benchmark

Model Name	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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