HyperAI
HyperAI
Home
Console
Docs
News
Papers
Tutorials
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 Seaquest
Atari Games On Atari 2600 Seaquest
Metrics
Score
Results
Performance results of various models on this benchmark
Columns
Model Name
Score
Paper Title
GDI-H3
1000000
Generalized Data Distribution Iteration
GDI-H3(200M frames)
1000000
Generalized Data Distribution Iteration
Agent57
999997.63
Agent57: Outperforming the Atari Human Benchmark
R2D2
999996.7
Recurrent Experience Replay in Distributed Reinforcement Learning
MuZero
999976.52
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
MuZero (Res2 Adam)
999659.18
Online and Offline Reinforcement Learning by Planning with a Learned Model
GDI-I3
943910
Generalized Data Distribution Iteration
GDI-I3
943910
GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning
Ape-X
392952.3
Distributed Prioritized Experience Replay
C51 noop
266434.0
A Distributional Perspective on Reinforcement Learning
Duel noop
50254.2
Dueling Network Architectures for Deep Reinforcement Learning
Duel hs
37361.6
Dueling Network Architectures for Deep Reinforcement Learning
IQN
30140
Implicit Quantile Networks for Distributional Reinforcement Learning
ASL DDQN
29278.6
Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity
Prior noop
26357.8
Prioritized Experience Replay
Prior hs
25463.7
Prioritized Experience Replay
NoisyNet-Dueling
16754
Noisy Networks for Exploration
DDQN (tuned) noop
16452.7
Dueling Network Architectures for Deep Reinforcement Learning
DDQN (tuned) hs
14498.0
Deep Reinforcement Learning with Double Q-learning
Persistent AL
13230.74
Increasing the Action Gap: New Operators for Reinforcement Learning
0 of 57 row(s) selected.
Previous
Next
HyperAI
HyperAI
Home
Console
Docs
News
Papers
Tutorials
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 Seaquest
Atari Games On Atari 2600 Seaquest
Metrics
Score
Results
Performance results of various models on this benchmark
Columns
Model Name
Score
Paper Title
GDI-H3
1000000
Generalized Data Distribution Iteration
GDI-H3(200M frames)
1000000
Generalized Data Distribution Iteration
Agent57
999997.63
Agent57: Outperforming the Atari Human Benchmark
R2D2
999996.7
Recurrent Experience Replay in Distributed Reinforcement Learning
MuZero
999976.52
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
MuZero (Res2 Adam)
999659.18
Online and Offline Reinforcement Learning by Planning with a Learned Model
GDI-I3
943910
Generalized Data Distribution Iteration
GDI-I3
943910
GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning
Ape-X
392952.3
Distributed Prioritized Experience Replay
C51 noop
266434.0
A Distributional Perspective on Reinforcement Learning
Duel noop
50254.2
Dueling Network Architectures for Deep Reinforcement Learning
Duel hs
37361.6
Dueling Network Architectures for Deep Reinforcement Learning
IQN
30140
Implicit Quantile Networks for Distributional Reinforcement Learning
ASL DDQN
29278.6
Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity
Prior noop
26357.8
Prioritized Experience Replay
Prior hs
25463.7
Prioritized Experience Replay
NoisyNet-Dueling
16754
Noisy Networks for Exploration
DDQN (tuned) noop
16452.7
Dueling Network Architectures for Deep Reinforcement Learning
DDQN (tuned) hs
14498.0
Deep Reinforcement Learning with Double Q-learning
Persistent AL
13230.74
Increasing the Action Gap: New Operators for Reinforcement Learning
0 of 57 row(s) selected.
Previous
Next
Atari Games On Atari 2600 Seaquest | SOTA | HyperAI