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Atari 2600 Ice Hockey
Video Games on Atari 2600 Ice Hockey
Metric: Score (higher is better)
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#
Model
↕
Score
▼
Extra Data
Paper
Date
↕
Code
1
GDI-H3
481.9
No
Generalized Data Distribution Iteration
2022-06-07
-
2
R2D2
79.3
No
-
-
Code
3
MuZero
67.04
No
Mastering Atari, Go, Chess and Shogi by Planning...
2019-11-19
Code
4
Agent57
63.64
No
Agent57: Outperforming the Atari Human Benchmark
2020-03-30
Code
5
GDI-I3
44.94
No
Generalized Data Distribution Iteration
2022-06-07
-
6
GDI-I3
44.94
No
Generalized Data Distribution Iteration
2022-06-07
-
7
MuZero (Res2 Adam)
41.66
No
Online and Offline Reinforcement Learning by Pla...
2021-04-13
Code
8
UCT
39.4
No
The Arcade Learning Environment: An Evaluation P...
2012-07-19
Code
9
Ape-X
33
No
Distributed Prioritized Experience Replay
2018-03-02
Code
10
DreamerV2
26
No
Mastering Atari with Discrete World Models
2020-10-05
Code
11
FQF
17.3
No
Fully Parameterized Quantile Function for Distri...
2019-11-05
Code
12
DNA
7.2
No
DNA: Proximal Policy Optimization with a Dual Ne...
2022-06-20
Code
13
CGP
4
No
Evolving simple programs for playing Atari games
2018-06-14
Code
14
IMPALA (deep)
3.48
No
IMPALA: Scalable Distributed Deep-RL with Import...
2018-02-05
Code
15
NoisyNet-Dueling
3
No
Noisy Networks for Exploration
2017-06-30
Code
16
Prior noop
1.3
No
Prioritized Experience Replay
2015-11-18
Code
17
Duel noop
0.5
No
Dueling Network Architectures for Deep Reinforce...
2015-11-20
Code
18
Prior+Duel hs
0.5
No
Deep Reinforcement Learning with Double Q-learning
2015-09-22
Code
19
IQN
0.2
No
Implicit Quantile Networks for Distributional Re...
2018-06-14
Code
20
Prior hs
-0.2
No
Prioritized Experience Replay
2015-11-18
Code
21
Persistent AL
-0.25
No
Increasing the Action Gap: New Operators for Rei...
2015-12-15
Code
22
Prior+Duel noop
-0.4
No
Dueling Network Architectures for Deep Reinforce...
2015-11-20
Code
23
Advantage Learning
-1.24
No
Increasing the Action Gap: New Operators for Rei...
2015-12-15
Code
24
Duel hs
-1.3
No
Dueling Network Architectures for Deep Reinforce...
2015-11-20
Code
25
Bootstrapped DQN
-1.3
No
Deep Exploration via Bootstrapped DQN
2016-02-15
Code
26
Nature DQN
-1.6
No
-
-
Code
27
DQN hs
-1.6
No
Deep Reinforcement Learning with Double Q-learning
2015-09-22
Code
28
Gorila
-1.7
No
Massively Parallel Methods for Deep Reinforcemen...
2015-07-15
Code
29
A3C LSTM hs
-1.7
No
Asynchronous Methods for Deep Reinforcement Lear...
2016-02-04
Code
30
QR-DQN-1
-1.7
No
Distributional Reinforcement Learning with Quant...
2017-10-27
Code
31
DQN noop
-1.9
No
Deep Reinforcement Learning with Double Q-learning
2015-09-22
Code
32
A2C + SIL
-2.4
No
Self-Imitation Learning
2018-06-14
Code
33
DDQN (tuned) hs
-2.5
No
Deep Reinforcement Learning with Double Q-learning
2015-09-22
Code
34
DDQN (tuned) noop
-2.7
No
Dueling Network Architectures for Deep Reinforce...
2015-11-20
Code
35
A3C FF hs
-2.8
No
Asynchronous Methods for Deep Reinforcement Lear...
2016-02-04
Code
36
SARSA
-3.2
No
-
-
-
37
C51 noop
-3.5
No
A Distributional Perspective on Reinforcement Le...
2017-07-21
Code
38
ASL DDQN
-3.6
No
Train a Real-world Local Path Planner in One Hou...
2023-05-07
Code
39
DDQN+Pop-Art noop
-4.1
No
Learning values across many orders of magnitude
2016-02-24
-
40
ES FF (1 hour) noop
-4.1
No
Evolution Strategies as a Scalable Alternative t...
2017-03-10
Code
41
POP3D
-4.12
No
Policy Optimization With Penalized Point Probabi...
2018-07-02
Code
42
A3C FF (1 day) hs
-4.7
No
Asynchronous Methods for Deep Reinforcement Lear...
2016-02-04
Code
43
Best Learner
-9.5
No
The Arcade Learning Environment: An Evaluation P...
2012-07-19
Code