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Atari 2600 Battle Zone
Video Games on Atari 2600 Battle Zone
Metric: Score (higher is better)
Leaderboard
Dataset
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Results
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#
Model
↕
Score
▼
Extra Data
Paper
Date
↕
Code
1
Agent57
934134.88
No
Agent57: Outperforming the Atari Human Benchmark
2020-03-30
Code
2
MuZero
848623
No
Mastering Atari, Go, Chess and Shogi by Planning...
2019-11-19
Code
3
GDI-H3
824360
No
Generalized Data Distribution Iteration
2022-06-07
-
4
R2D2
751880
No
-
-
Code
5
GDI-I3
478830
No
Generalized Data Distribution Iteration
2022-06-07
-
6
MuZero (Res2 Adam)
178716.9
No
Online and Offline Reinforcement Learning by Pla...
2021-04-13
Code
7
Ape-X
98895
No
Distributed Prioritized Experience Replay
2018-03-02
Code
8
FQF
87928.6
No
Fully Parameterized Quantile Function for Distri...
2019-11-05
Code
9
DNA
71003
No
DNA: Proximal Policy Optimization with a Dual Ne...
2022-06-20
Code
10
UCT
70333.3
No
The Arcade Learning Environment: An Evaluation P...
2012-07-19
Code
11
Reactor 500M
64070
No
The Reactor: A fast and sample-efficient Actor-C...
2017-04-15
-
12
NoisyNet-Dueling
52262
No
Noisy Networks for Exploration
2017-06-30
Code
13
IQN
42244
No
Implicit Quantile Networks for Distributional Re...
2018-06-14
Code
14
DreamerV2
40325
No
Mastering Atari with Discrete World Models
2020-10-05
Code
15
QR-DQN-1
39268
No
Distributional Reinforcement Learning with Quant...
2017-10-27
Code
16
ASL DDQN
38986
No
Train a Real-world Local Path Planner in One Hou...
2023-05-07
Code
17
Bootstrapped DQN
38666.7
No
Deep Exploration via Bootstrapped DQN
2016-02-15
Code
18
Duel noop
37150
No
Dueling Network Architectures for Deep Reinforce...
2015-11-20
Code
19
Prior+Duel noop
35520
No
Dueling Network Architectures for Deep Reinforce...
2015-11-20
Code
20
Persistent AL
34583.07
No
Increasing the Action Gap: New Operators for Rei...
2015-12-15
Code
21
CGP
34200
No
Evolving simple programs for playing Atari games
2018-06-14
Code
22
DDQN (tuned) noop
31700
No
Dueling Network Architectures for Deep Reinforce...
2015-11-20
Code
23
Prior noop
31530
No
Prioritized Experience Replay
2015-11-18
Code
24
Duel hs
31320
No
Dueling Network Architectures for Deep Reinforce...
2015-11-20
Code
25
Prior+Duel hs
30650
No
Deep Reinforcement Learning with Double Q-learning
2015-09-22
Code
26
DQN noop
29900
No
Deep Reinforcement Learning with Double Q-learning
2015-09-22
Code
27
Advantage Learning
28789.29
No
Increasing the Action Gap: New Operators for Rei...
2015-12-15
Code
28
C51 noop
28742
No
A Distributional Perspective on Reinforcement Le...
2017-07-21
Code
29
Nature DQN
26300
No
-
-
Code
30
Recurrent Rational DQN Average
25749
No
Adaptive Rational Activations to Boost Deep Rein...
2021-02-18
Code
31
Prior hs
25520
No
Prioritized Experience Replay
2015-11-18
Code
32
A2C + SIL
25075
No
Self-Imitation Learning
2018-06-14
Code
33
DDQN (tuned) hs
24740
No
Deep Reinforcement Learning with Double Q-learning
2015-09-22
Code
34
DQN hs
23750
No
Deep Reinforcement Learning with Double Q-learning
2015-09-22
Code
35
Rational DQN Average
23403
No
Adaptive Rational Activations to Boost Deep Rein...
2021-02-18
Code
36
IMPALA (deep)
20885
No
IMPALA: Scalable Distributed Deep-RL with Import...
2018-02-05
Code
37
A3C LSTM hs
20760
No
Asynchronous Methods for Deep Reinforcement Lear...
2016-02-04
Code
38
Gorila
19938
No
Massively Parallel Methods for Deep Reinforcemen...
2015-07-15
Code
39
ES FF (1 hour) noop
16600
No
Evolution Strategies as a Scalable Alternative t...
2017-03-10
Code
40
Best Learner
15819.7
No
The Arcade Learning Environment: An Evaluation P...
2012-07-19
Code
41
POP3D
15466.67
No
Policy Optimization With Penalized Point Probabi...
2018-07-02
Code
42
A3C FF hs
12950
No
Asynchronous Methods for Deep Reinforcement Lear...
2016-02-04
Code
43
A3C FF (1 day) hs
11340
No
Asynchronous Methods for Deep Reinforcement Lear...
2016-02-04
Code
44
CURL
11208
No
CURL: Contrastive Unsupervised Representations f...
2020-04-08
Code
45
DDQN+Pop-Art noop
8220
No
Learning values across many orders of magnitude
2016-02-24
-
46
SAC
4386.7
No
Soft Actor-Critic for Discrete Action Settings
2019-10-16
Code
47
SARSA
16.2
No
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