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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