Atari Games On Atari 2600 Freeway

Score

评测结果

各个模型在此基准测试上的表现结果

		Paper Title	Repository
Go-Explore	34	First return, then explore
QR-DQN-1	34	Distributional Reinforcement Learning with Quantile Regression
GDI-I3	34	Generalized Data Distribution Iteration	-
GDI-H3	34	Generalized Data Distribution Iteration	-
GDI-H3(200M frames)	34	Generalized Data Distribution Iteration	-
IQN	34	Implicit Quantile Networks for Distributional Reinforcement Learning
GDI-I3	34	GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning	-
TRPO-hash	34.0	#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning
NoisyNet-Dueling	34	Noisy Networks for Exploration
Bootstrapped DQN	33.9	Deep Exploration via Bootstrapped DQN
C51 noop	33.9	A Distributional Perspective on Reinforcement Learning
ASL DDQN	33.9	Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity
MuZero (Res2 Adam)	33.87	Online and Offline Reinforcement Learning by Planning with a Learned Model
Ape-X	33.7	Distributed Prioritized Experience Replay
Prior noop	33.7	Prioritized Experience Replay
DDQN+Pop-Art noop	33.4	Learning values across many orders of magnitude	-
DDQN (tuned) noop	33.3	Dueling Network Architectures for Deep Reinforcement Learning
MuZero	33.03	Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
DreamerV2	33	Mastering Atari with Discrete World Models
Prior+Duel noop	33.0	Dueling Network Architectures for Deep Reinforcement Learning

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