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SOTA
Atari-Spiele
Atari Games On Atari 2600 Fishing Derby
Atari Games On Atari 2600 Fishing Derby
Metriken
Score
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
Score
Paper Title
MuZero
91.16
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
Agent57
86.97
Agent57: Outperforming the Atari Human Benchmark
R2D2
85.8
Recurrent Experience Replay in Distributed Reinforcement Learning
MuZero (Res2 Adam)
73.94
Online and Offline Reinforcement Learning by Planning with a Learned Model
DreamerV2
65
Mastering Atari with Discrete World Models
GDI-H3
65
Generalized Data Distribution Iteration
GDI-I3
59
Generalized Data Distribution Iteration
GDI-I3
59
GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning
DNA
57.4
DNA: Proximal Policy Optimization with a Dual Network Architecture
NoisyNet-Dueling
57
Noisy Networks for Exploration
A2C + SIL
55.8
Self-Imitation Learning
FQF
52.7
Fully Parameterized Quantile Function for Distributional Reinforcement Learning
Duel noop
46.4
Dueling Network Architectures for Deep Reinforcement Learning
DDQN+Pop-Art noop
45.1
Learning values across many orders of magnitude
IMPALA (deep)
44.85
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
Ape-X
44.4
Distributed Prioritized Experience Replay
Prior+Duel noop
41.3
Dueling Network Architectures for Deep Reinforcement Learning
Prior noop
39.5
Prioritized Experience Replay
QR-DQN-1
39
Distributional Reinforcement Learning with Quantile Regression
UCT
37.8
The Arcade Learning Environment: An Evaluation Platform for General Agents
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