HyperAI
HyperAI
Home
News
Latest Papers
Tutorials
Datasets
Wiki
SOTA
LLM Models
GPU Leaderboard
Events
Search
About
English
HyperAI
HyperAI
Toggle sidebar
Search the site…
⌘
K
Home
SOTA
Atari Games
Atari Games On Atari 2600 Private Eye
Atari Games On Atari 2600 Private Eye
Metrics
Score
Results
Performance results of various models on this benchmark
Columns
Model Name
Score
Paper Title
Repository
GDI-I3
15100
GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning
-
DQNMMCe+SR
99.1
Count-Based Exploration with the Successor Representation
-
DDQN (tuned) hs
-575.5
Deep Reinforcement Learning with Double Q-learning
-
Go-Explore
95756
First return, then explore
-
A2C + SIL
661.2
Self-Imitation Learning
-
DQN noop
146.7
Deep Reinforcement Learning with Double Q-learning
-
DreamerV2
2198
Mastering Atari with Discrete World Models
-
A3C FF hs
206.9
Asynchronous Methods for Deep Reinforcement Learning
-
C51 noop
15095.0
A Distributional Perspective on Reinforcement Learning
-
R2D2
5322.7
Recurrent Experience Replay in Distributed Reinforcement Learning
-
Prior hs
670.7
Prioritized Experience Replay
-
GDI-H3
15100
Generalized Data Distribution Iteration
-
GDI-I3
15100
Generalized Data Distribution Iteration
-
QR-DQN-1
350
Distributional Reinforcement Learning with Quantile Regression
-
SARSA
86.0
-
-
DQN-PixelCNN
8358.7
Count-Based Exploration with Neural Density Models
-
Duel hs
292.6
Dueling Network Architectures for Deep Reinforcement Learning
-
Prior+Duel noop
206.0
Dueling Network Architectures for Deep Reinforcement Learning
-
Duel noop
103.0
Dueling Network Architectures for Deep Reinforcement Learning
-
Prior noop
200.0
Prioritized Experience Replay
-
0 of 52 row(s) selected.
Previous
Next
Atari Games On Atari 2600 Private Eye | SOTA | HyperAI