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SOTA
Atari Games
Atari Games On Atari 2600 Hero
Atari Games On Atari 2600 Hero
Metrics
Score
Results
Performance results of various models on this benchmark
Columns
Model Name
Score
Paper Title
Agent57
114736.26
Agent57: Outperforming the Atari Human Benchmark
MuZero
49244.11
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
R2D2
39537.1
Recurrent Experience Replay in Distributed Reinforcement Learning
C51 noop
38874
A Distributional Perspective on Reinforcement Learning
GDI-I3
38330
Generalized Data Distribution Iteration
GDI-I3
38330
GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning
GDI-H3
38225
Generalized Data Distribution Iteration
MuZero (Res2 Adam)
37234.31
Online and Offline Reinforcement Learning by Planning with a Learned Model
IMPALA (deep)
33730.55
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
A2C + SIL
33156.7
Self-Imitation Learning
A3C FF hs
32464.1
Asynchronous Methods for Deep Reinforcement Learning
Ape-X
31655.9
Distributed Prioritized Experience Replay
NoisyNet-Dueling
31533
Noisy Networks for Exploration
FQF
30926.2
Fully Parameterized Quantile Function for Distributional Reinforcement Learning
A3C LSTM hs
28889.5
Asynchronous Methods for Deep Reinforcement Learning
A3C FF (1 day) hs
28765.8
Asynchronous Methods for Deep Reinforcement Learning
IQN
28386
Implicit Quantile Networks for Distributional Reinforcement Learning
ASL DDQN
26578.5
Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity
DNA
24904
DNA: Proximal Policy Optimization with a Dual Network Architecture
Advantage Learning
24788.86
Increasing the Action Gap: New Operators for Reinforcement Learning
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HyperAI
HyperAI
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Console
Docs
News
Papers
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Datasets
Wiki
SOTA
LLM Models
GPU Leaderboard
Events
Search
About
Terms of Service
Privacy Policy
English
HyperAI
HyperAI
Toggle Sidebar
Search the site…
⌘
K
Command Palette
Search for a command to run...
Console
Home
SOTA
Atari Games
Atari Games On Atari 2600 Hero
Atari Games On Atari 2600 Hero
Metrics
Score
Results
Performance results of various models on this benchmark
Columns
Model Name
Score
Paper Title
Agent57
114736.26
Agent57: Outperforming the Atari Human Benchmark
MuZero
49244.11
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
R2D2
39537.1
Recurrent Experience Replay in Distributed Reinforcement Learning
C51 noop
38874
A Distributional Perspective on Reinforcement Learning
GDI-I3
38330
Generalized Data Distribution Iteration
GDI-I3
38330
GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning
GDI-H3
38225
Generalized Data Distribution Iteration
MuZero (Res2 Adam)
37234.31
Online and Offline Reinforcement Learning by Planning with a Learned Model
IMPALA (deep)
33730.55
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
A2C + SIL
33156.7
Self-Imitation Learning
A3C FF hs
32464.1
Asynchronous Methods for Deep Reinforcement Learning
Ape-X
31655.9
Distributed Prioritized Experience Replay
NoisyNet-Dueling
31533
Noisy Networks for Exploration
FQF
30926.2
Fully Parameterized Quantile Function for Distributional Reinforcement Learning
A3C LSTM hs
28889.5
Asynchronous Methods for Deep Reinforcement Learning
A3C FF (1 day) hs
28765.8
Asynchronous Methods for Deep Reinforcement Learning
IQN
28386
Implicit Quantile Networks for Distributional Reinforcement Learning
ASL DDQN
26578.5
Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity
DNA
24904
DNA: Proximal Policy Optimization with a Dual Network Architecture
Advantage Learning
24788.86
Increasing the Action Gap: New Operators for Reinforcement Learning
0 of 44 row(s) selected.
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Atari Games On Atari 2600 Hero | SOTA | HyperAI