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Atari Games On Atari 2600 Surround

Metrics

Score

Results

Performance results of various models on this benchmark

Model Name	Score	Paper Title	Repository
MuZero (Res2 Adam)	9.9	Online and Offline Reinforcement Learning by Planning with a Learned Model
Agent57	9.5	Agent57: Outperforming the Atari Human Benchmark
DNA	5.3	DNA: Proximal Policy Optimization with a Dual Network Architecture
Persistent AL	0.72	Increasing the Action Gap: New Operators for Reinforcement Learning
GDI-H3	2.606	Generalized Data Distribution Iteration	-
IMPALA (deep)	7.56	IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
NoisyNet-Dueling	10	Noisy Networks for Exploration
GDI-I3	-7.8	Generalized Data Distribution Iteration	-
Ape-X	7.1	Distributed Prioritized Experience Replay
QR-DQN-1	8.2	Distributional Reinforcement Learning with Quantile Regression
ASL DDQN	2.5	Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity	-
R2D2	9.9	Recurrent Experience Replay in Distributed Reinforcement Learning	-
IQN	9.4	Implicit Quantile Networks for Distributional Reinforcement Learning
MuZero	9.99	Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
GDI-I3	-7.8	GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning	-

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