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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
Repository
FQF
30926.2
Fully Parameterized Quantile Function for Distributional Reinforcement Learning
-
DQN noop
20437.8
Deep Reinforcement Learning with Double Q-learning
-
Nature DQN
19950
Human level control through deep reinforcement learning
Prior+Duel hs
15459.2
Deep Reinforcement Learning with Double Q-learning
-
CGP
2974
Evolving simple programs for playing Atari games
-
A2C + SIL
33156.7
Self-Imitation Learning
-
Prior+Duel noop
21036.5
Dueling Network Architectures for Deep Reinforcement Learning
-
Ape-X
31655.9
Distributed Prioritized Experience Replay
-
Gorila
8963.4
Massively Parallel Methods for Deep Reinforcement Learning
-
DDQN (tuned) noop
20130.2
Dueling Network Architectures for Deep Reinforcement Learning
-
A3C FF hs
32464.1
Asynchronous Methods for Deep Reinforcement Learning
-
DreamerV2
21868
Mastering Atari with Discrete World Models
-
Bootstrapped DQN
21021.3
Deep Exploration via Bootstrapped DQN
-
MuZero (Res2 Adam)
37234.31
Online and Offline Reinforcement Learning by Planning with a Learned Model
-
A3C LSTM hs
28889.5
Asynchronous Methods for Deep Reinforcement Learning
-
UCT
12859.5
The Arcade Learning Environment: An Evaluation Platform for General Agents
-
Prior hs
20889.9
Prioritized Experience Replay
-
Duel hs
15207.9
Dueling Network Architectures for Deep Reinforcement Learning
-
GDI-I3
38330
Generalized Data Distribution Iteration
-
Persistent AL
24175.79
Increasing the Action Gap: New Operators for Reinforcement Learning
-
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Atari Games On Atari 2600 Hero | SOTA | HyperAI