Atari Games On Atari 2600 Bowling

Score

评测结果

各个模型在此基准测试上的表现结果

		Paper Title	Repository
MuZero	260.13	Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
Go-Explore	260	First return, then explore
Agent57	251.18	Agent57: Outperforming the Atari Human Benchmark
R2D2	219.5	Recurrent Experience Replay in Distributed Reinforcement Learning	-
GDI-H3	205.2	Generalized Data Distribution Iteration	-
GDI-I3	201.9	GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning	-
GDI-I3	201.9	Generalized Data Distribution Iteration	-
DNA	181	DNA: Proximal Policy Optimization with a Dual Network Architecture
RUDDER	179	RUDDER: Return Decomposition for Delayed Rewards
MuZero (Res2 Adam)	131.65	Online and Offline Reinforcement Learning by Planning with a Learned Model
FQF	102.3	Fully Parameterized Quantile Function for Distributional Reinforcement Learning
DDQN+Pop-Art noop	102.1	Learning values across many orders of magnitude	-
IQN	86.5	Implicit Quantile Networks for Distributional Reinforcement Learning
CGP	85.8	Evolving simple programs for playing Atari games
C51 noop	81.8	A Distributional Perspective on Reinforcement Learning
Reactor 500M	81.0	The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning	-
QR-DQN-1	77.2	Distributional Reinforcement Learning with Quantile Regression
Persistent AL	71.59	Increasing the Action Gap: New Operators for Reinforcement Learning
DDQN (tuned) hs	69.6	Deep Reinforcement Learning with Double Q-learning
DDQN (tuned) noop	68.1	Dueling Network Architectures for Deep Reinforcement Learning

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