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SOTA
Atari Games
Atari Games On Atari 2600 Solaris
Atari Games On Atari 2600 Solaris
Metrics
Score
Results
Performance results of various models on this benchmark
Columns
Model Name
Score
Paper Title
Agent57
44199.93
Agent57: Outperforming the Atari Human Benchmark
Go-Explore
19671
First return, then explore
SND-STD
12460
Self-supervised network distillation: an effective approach to exploration in sparse reward environments
SND-VIC
11865
Self-supervised network distillation: an effective approach to exploration in sparse reward environments
SND-V
11582
Self-supervised network distillation: an effective approach to exploration in sparse reward environments
GDI-I3
11074
Generalized Data Distribution Iteration
GDI-I3
11074
GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning
GDI-H3
9105
Generalized Data Distribution Iteration
CGP
8324
Evolving simple programs for playing Atari games
IQN
8007
Implicit Quantile Networks for Distributional Reinforcement Learning
QR-DQN-1
6740
Distributional Reinforcement Learning with Quantile Regression
NoisyNet-Dueling
6522
Noisy Networks for Exploration
MuZero (Res2 Adam)
5132.95
Online and Offline Reinforcement Learning by Planning with a Learned Model
Advantage Learning
4785.16
Increasing the Action Gap: New Operators for Reinforcement Learning
R2D2
3787.2
Recurrent Experience Replay in Distributed Reinforcement Learning
ASL DDQN
3506.8
Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity
RND
3282
Exploration by Random Network Distillation
Ape-X
2892.9
Distributed Prioritized Experience Replay
IMPALA (deep)
2365.00
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
DQNMMCe
2244.6
Count-Based Exploration with the Successor Representation
0 of 23 row(s) selected.
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HyperAI
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Home
Console
Docs
News
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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 Solaris
Atari Games On Atari 2600 Solaris
Metrics
Score
Results
Performance results of various models on this benchmark
Columns
Model Name
Score
Paper Title
Agent57
44199.93
Agent57: Outperforming the Atari Human Benchmark
Go-Explore
19671
First return, then explore
SND-STD
12460
Self-supervised network distillation: an effective approach to exploration in sparse reward environments
SND-VIC
11865
Self-supervised network distillation: an effective approach to exploration in sparse reward environments
SND-V
11582
Self-supervised network distillation: an effective approach to exploration in sparse reward environments
GDI-I3
11074
Generalized Data Distribution Iteration
GDI-I3
11074
GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning
GDI-H3
9105
Generalized Data Distribution Iteration
CGP
8324
Evolving simple programs for playing Atari games
IQN
8007
Implicit Quantile Networks for Distributional Reinforcement Learning
QR-DQN-1
6740
Distributional Reinforcement Learning with Quantile Regression
NoisyNet-Dueling
6522
Noisy Networks for Exploration
MuZero (Res2 Adam)
5132.95
Online and Offline Reinforcement Learning by Planning with a Learned Model
Advantage Learning
4785.16
Increasing the Action Gap: New Operators for Reinforcement Learning
R2D2
3787.2
Recurrent Experience Replay in Distributed Reinforcement Learning
ASL DDQN
3506.8
Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity
RND
3282
Exploration by Random Network Distillation
Ape-X
2892.9
Distributed Prioritized Experience Replay
IMPALA (deep)
2365.00
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
DQNMMCe
2244.6
Count-Based Exploration with the Successor Representation
0 of 23 row(s) selected.
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Atari Games On Atari 2600 Solaris | SOTA | HyperAI