Atari Games On Atari 2600 Bowling

Score

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

		Paper Title
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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