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SOTA
Atari Games
Atari Games On Atari 2600 Qbert
Atari Games On Atari 2600 Qbert
Metrics
Score
Results
Performance results of various models on this benchmark
Columns
Model Name
Score
Paper Title
Agent57
580328.14
Agent57: Outperforming the Atari Human Benchmark
QR-DQN-1
572510
Distributional Reinforcement Learning with Quantile Regression
R2D2
408850.0
Recurrent Experience Replay in Distributed Reinforcement Learning
IMPALA (deep)
351200.12
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
Ape-X
302391.3
Distributed Prioritized Experience Replay
A2C + SIL
104975.6
Self-Imitation Learning
MuZero (Res2 Adam)
94906.25
Online and Offline Reinforcement Learning by Planning with a Learned Model
DreamerV2
94688
Mastering Atari with Discrete World Models
MuZero
72276.00
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
DNA
52398
DNA: Proximal Policy Optimization with a Dual Network Architecture
GDI-H3(200M frames)
28657
Generalized Data Distribution Iteration
GDI-H3
28657
Generalized Data Distribution Iteration
GDI-I3
27800
Generalized Data Distribution Iteration
GDI-I3
27800
GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning
NoisyNet-Dueling
27121
Noisy Networks for Exploration
IQN
25750
Implicit Quantile Networks for Distributional Reinforcement Learning
ASL DDQN
24548.8
Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity
C51 noop
23784
A Distributional Perspective on Reinforcement Learning
A3C LSTM hs
21307.5
Asynchronous Methods for Deep Reinforcement Learning
Duel noop
19220.3
Dueling Network Architectures for Deep Reinforcement Learning
0 of 57 row(s) selected.
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HyperAI
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Console
Docs
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Search
About
Terms of Service
Privacy Policy
English
HyperAI
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Toggle Sidebar
Search the site…
⌘
K
Command Palette
Search for a command to run...
Console
Home
SOTA
Atari Games
Atari Games On Atari 2600 Qbert
Atari Games On Atari 2600 Qbert
Metrics
Score
Results
Performance results of various models on this benchmark
Columns
Model Name
Score
Paper Title
Agent57
580328.14
Agent57: Outperforming the Atari Human Benchmark
QR-DQN-1
572510
Distributional Reinforcement Learning with Quantile Regression
R2D2
408850.0
Recurrent Experience Replay in Distributed Reinforcement Learning
IMPALA (deep)
351200.12
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
Ape-X
302391.3
Distributed Prioritized Experience Replay
A2C + SIL
104975.6
Self-Imitation Learning
MuZero (Res2 Adam)
94906.25
Online and Offline Reinforcement Learning by Planning with a Learned Model
DreamerV2
94688
Mastering Atari with Discrete World Models
MuZero
72276.00
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
DNA
52398
DNA: Proximal Policy Optimization with a Dual Network Architecture
GDI-H3(200M frames)
28657
Generalized Data Distribution Iteration
GDI-H3
28657
Generalized Data Distribution Iteration
GDI-I3
27800
Generalized Data Distribution Iteration
GDI-I3
27800
GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning
NoisyNet-Dueling
27121
Noisy Networks for Exploration
IQN
25750
Implicit Quantile Networks for Distributional Reinforcement Learning
ASL DDQN
24548.8
Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity
C51 noop
23784
A Distributional Perspective on Reinforcement Learning
A3C LSTM hs
21307.5
Asynchronous Methods for Deep Reinforcement Learning
Duel noop
19220.3
Dueling Network Architectures for Deep Reinforcement Learning
0 of 57 row(s) selected.
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Atari Games On Atari 2600 Qbert | SOTA | HyperAI