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Atari 2600 Freeway
Video Games on Atari 2600 Freeway
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Model name (A→Z)
#
Model
↕
Score
▼
Extra Data
Paper
Date
↕
Code
1
TRPO-hash
34
No
#Exploration: A Study of Count-Based Exploration...
2016-11-15
Code
2
IQN
34
No
Implicit Quantile Networks for Distributional Re...
2018-06-14
Code
3
NoisyNet-Dueling
34
No
Noisy Networks for Exploration
2017-06-30
Code
4
QR-DQN-1
34
No
Distributional Reinforcement Learning with Quant...
2017-10-27
Code
5
Go-Explore
34
No
First return, then explore
2020-04-27
Code
6
GDI-I3
34
No
GDI: Rethinking What Makes Reinforcement Learnin...
2021-06-11
-
7
GDI-I3
34
No
GDI: Rethinking What Makes Reinforcement Learnin...
2021-06-11
-
8
GDI-H3(200M frames)
34
No
Generalized Data Distribution Iteration
2022-06-07
-
9
GDI-H3
34
No
Generalized Data Distribution Iteration
2022-06-07
-
10
C51 noop
33.9
No
A Distributional Perspective on Reinforcement Le...
2017-07-21
Code
11
Bootstrapped DQN
33.9
No
Deep Exploration via Bootstrapped DQN
2016-02-15
Code
12
ASL DDQN
33.9
No
Train a Real-world Local Path Planner in One Hou...
2023-05-07
Code
13
MuZero (Res2 Adam)
33.87
No
Online and Offline Reinforcement Learning by Pla...
2021-04-13
Code
14
Prior noop
33.7
No
Prioritized Experience Replay
2015-11-18
Code
15
Ape-X
33.7
No
Distributed Prioritized Experience Replay
2018-03-02
Code
16
DDQN+Pop-Art noop
33.4
No
Learning values across many orders of magnitude
2016-02-24
-
17
DDQN (tuned) noop
33.3
No
Dueling Network Architectures for Deep Reinforce...
2015-11-20
Code
18
MuZero
33.03
No
Mastering Atari, Go, Chess and Shogi by Planning...
2019-11-19
Code
19
Prior+Duel noop
33
No
Dueling Network Architectures for Deep Reinforce...
2015-11-20
Code
20
DQN-CTS
33
No
Count-Based Exploration with Neural Density Models
2017-03-03
Code
21
DreamerV2
33
No
Mastering Atari with Discrete World Models
2020-10-05
Code
22
DNA
33
No
DNA: Proximal Policy Optimization with a Dual Ne...
2022-06-20
Code
23
Intrinsic Reward Agent
32.8
No
Large-Scale Study of Curiosity-Driven Learning
2018-08-13
Code
24
Agent57
32.59
No
Agent57: Outperforming the Atari Human Benchmark
2020-03-30
Code
25
R2D2
32.5
No
-
-
Code
26
Persistent AL
32.3
No
Increasing the Action Gap: New Operators for Rei...
2015-12-15
Code
27
A2C + SIL
32.2
No
Self-Imitation Learning
2018-06-14
Code
28
Advantage Learning
31.72
No
Increasing the Action Gap: New Operators for Rei...
2015-12-15
Code
29
DQN-PixelCNN
31.7
No
Count-Based Exploration with Neural Density Models
2017-03-03
Code
30
ES FF (1 hour) noop
31
No
Evolution Strategies as a Scalable Alternative t...
2017-03-10
Code
31
DQN noop
30.8
No
Deep Reinforcement Learning with Double Q-learning
2015-09-22
Code
32
A3C-CTS
30.48
No
Unifying Count-Based Exploration and Intrinsic M...
2016-06-06
Code
33
Nature DQN
30.3
No
-
-
Code
34
Sarsa-ε
29.9
No
Count-Based Exploration in Feature Space for Rei...
2017-06-25
Code
35
DQNMMCe
29.5
No
Count-Based Exploration with the Successor Repre...
2018-07-31
Code
36
Discrete Latent Space World Model (VQ-VAE)
29
No
Smaller World Models for Reinforcement Learning
2020-10-12
-
37
Prior hs
28.9
No
Prioritized Experience Replay
2015-11-18
Code
38
DDQN (tuned) hs
28.8
No
Deep Reinforcement Learning with Double Q-learning
2015-09-22
Code
39
Prior+Duel hs
28.2
No
Deep Reinforcement Learning with Double Q-learning
2015-09-22
Code
40
CGP
28.2
No
Evolving simple programs for playing Atari games
2018-06-14
Code
41
CURL
27.9
No
CURL: Contrastive Unsupervised Representations f...
2020-04-08
Code
42
MP-EB
27
No
Incentivizing Exploration In Reinforcement Learn...
2015-07-03
Code
43
DQN hs
26.9
No
Deep Reinforcement Learning with Double Q-learning
2015-09-22
Code
44
Best Baseline
22.5
No
The Arcade Learning Environment: An Evaluation P...
2012-07-19
Code
45
ENAS
22
No
Optimizing the Neural Architecture of Reinforcem...
2020-11-30
Code
46
SPOS
22
No
Optimizing the Neural Architecture of Reinforcem...
2020-11-30
Code
47
POP3D
21.21
No
Policy Optimization With Penalized Point Probabi...
2018-07-02
Code
48
SARSA
19.7
No
-
-
-
49
Best Learner
19.1
No
The Arcade Learning Environment: An Evaluation P...
2012-07-19
Code
50
Gorila
10.2
No
Massively Parallel Methods for Deep Reinforcemen...
2015-07-15
Code
51
SAC
4.4
No
Soft Actor-Critic for Discrete Action Settings
2019-10-16
Code
52
UCT
0.4
No
The Arcade Learning Environment: An Evaluation P...
2012-07-19
Code
53
Duel hs
0.2
No
Dueling Network Architectures for Deep Reinforce...
2015-11-20
Code
54
A3C FF (1 day) hs
0.1
No
Asynchronous Methods for Deep Reinforcement Lear...
2016-02-04
Code
55
A3C FF hs
0.1
No
Asynchronous Methods for Deep Reinforcement Lear...
2016-02-04
Code
56
A3C LSTM hs
0.1
No
Asynchronous Methods for Deep Reinforcement Lear...
2016-02-04
Code
57
Duel noop
0
No
-
-
Code
58
Sarsa-φ-EB
0
No
-
-
Code
59
IMPALA (deep)
0
No
-
-
Code
#1
TRPO-hash
SOTA
34
Score
· 2016-11-15
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning
Code
#2
IQN
34
Score
· 2018-06-14
Implicit Quantile Networks for Distributional Reinforcement Learning
Code
#3
NoisyNet-Dueling
34
Score
· 2017-06-30
Noisy Networks for Exploration
Code
#4
QR-DQN-1
34
Score
· 2017-10-27
Distributional Reinforcement Learning with Quantile Regression
Code
#5
Go-Explore
34
Score
· 2020-04-27
First return, then explore
Code
#6
GDI-I3
34
Score
· 2021-06-11
GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning
#7
GDI-I3
34
Score
· 2021-06-11
GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning
#8
GDI-H3(200M frames)
34
Score
· 2022-06-07
Generalized Data Distribution Iteration
#9
GDI-H3
34
Score
· 2022-06-07
Generalized Data Distribution Iteration
#10
C51 noop
33.9
Score
· 2017-07-21
A Distributional Perspective on Reinforcement Learning
Code
#11
Bootstrapped DQN
SOTA
33.9
Score
· 2016-02-15
Deep Exploration via Bootstrapped DQN
Code
#12
ASL DDQN
33.9
Score
· 2023-05-07
Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity
Code
#13
MuZero (Res2 Adam)
33.87
Score
· 2021-04-13
Online and Offline Reinforcement Learning by Planning with a Learned Model
Code
#14
Prior noop
SOTA
33.7
Score
· 2015-11-18
Prioritized Experience Replay
Code
#15
Ape-X
33.7
Score
· 2018-03-02
Distributed Prioritized Experience Replay
Code
#16
DDQN+Pop-Art noop
33.4
Score
· 2016-02-24
Learning values across many orders of magnitude
#17
DDQN (tuned) noop
33.3
Score
· 2015-11-20
Dueling Network Architectures for Deep Reinforcement Learning
Code
#18
MuZero
33.03
Score
· 2019-11-19
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
Code
#19
Prior+Duel noop
33
Score
· 2015-11-20
Dueling Network Architectures for Deep Reinforcement Learning
Code
#20
DQN-CTS
33
Score
· 2017-03-03
Count-Based Exploration with Neural Density Models
Code
#21
DreamerV2
33
Score
· 2020-10-05
Mastering Atari with Discrete World Models
Code
#22
DNA
33
Score
· 2022-06-20
DNA: Proximal Policy Optimization with a Dual Network Architecture
Code
#23
Intrinsic Reward Agent
32.8
Score
· 2018-08-13
Large-Scale Study of Curiosity-Driven Learning
Code
#24
Agent57
32.59
Score
· 2020-03-30
Agent57: Outperforming the Atari Human Benchmark
Code
#25
R2D2
32.5
Score
No paper
Code
#26
Persistent AL
32.3
Score
· 2015-12-15
Increasing the Action Gap: New Operators for Reinforcement Learning
Code
#27
A2C + SIL
32.2
Score
· 2018-06-14
Self-Imitation Learning
Code
#28
Advantage Learning
31.72
Score
· 2015-12-15
Increasing the Action Gap: New Operators for Reinforcement Learning
Code
#29
DQN-PixelCNN
31.7
Score
· 2017-03-03
Count-Based Exploration with Neural Density Models
Code
#30
ES FF (1 hour) noop
31
Score
· 2017-03-10
Evolution Strategies as a Scalable Alternative to Reinforcement Learning
Code
#31
DQN noop
SOTA
30.8
Score
· 2015-09-22
Deep Reinforcement Learning with Double Q-learning
Code
#32
A3C-CTS
30.48
Score
· 2016-06-06
Unifying Count-Based Exploration and Intrinsic Motivation
Code
#33
Nature DQN
30.3
Score
No paper
Code
#34
Sarsa-ε
29.9
Score
· 2017-06-25
Count-Based Exploration in Feature Space for Reinforcement Learning
Code
#35
DQNMMCe
29.5
Score
· 2018-07-31
Count-Based Exploration with the Successor Representation
Code
#36
Discrete Latent Space World Model (VQ-VAE)
29
Score
· 2020-10-12
Smaller World Models for Reinforcement Learning
#37
Prior hs
28.9
Score
· 2015-11-18
Prioritized Experience Replay
Code
#38
DDQN (tuned) hs
28.8
Score
· 2015-09-22
Deep Reinforcement Learning with Double Q-learning
Code
#39
Prior+Duel hs
28.2
Score
· 2015-09-22
Deep Reinforcement Learning with Double Q-learning
Code
#40
CGP
28.2
Score
· 2018-06-14
Evolving simple programs for playing Atari games
Code
#41
CURL
27.9
Score
· 2020-04-08
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
Code
#42
MP-EB
SOTA
27
Score
· 2015-07-03
Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models
Code
#43
DQN hs
26.9
Score
· 2015-09-22
Deep Reinforcement Learning with Double Q-learning
Code
#44
Best Baseline
SOTA
22.5
Score
· 2012-07-19
The Arcade Learning Environment: An Evaluation Platform for General Agents
Code
#45
ENAS
22
Score
· 2020-11-30
Optimizing the Neural Architecture of Reinforcement Learning Agents
Code
#46
SPOS
22
Score
· 2020-11-30
Optimizing the Neural Architecture of Reinforcement Learning Agents
Code
#47
POP3D
21.21
Score
· 2018-07-02
Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization
Code
#48
SARSA
19.7
Score
No paper
#49
Best Learner
19.1
Score
· 2012-07-19
The Arcade Learning Environment: An Evaluation Platform for General Agents
Code
#50
Gorila
10.2
Score
· 2015-07-15
Massively Parallel Methods for Deep Reinforcement Learning
Code
#51
SAC
4.4
Score
· 2019-10-16
Soft Actor-Critic for Discrete Action Settings
Code
#52
UCT
0.4
Score
· 2012-07-19
The Arcade Learning Environment: An Evaluation Platform for General Agents
Code
#53
Duel hs
0.2
Score
· 2015-11-20
Dueling Network Architectures for Deep Reinforcement Learning
Code
#54
A3C FF (1 day) hs
0.1
Score
· 2016-02-04
Asynchronous Methods for Deep Reinforcement Learning
Code
#55
A3C FF hs
0.1
Score
· 2016-02-04
Asynchronous Methods for Deep Reinforcement Learning
Code
#56
A3C LSTM hs
0.1
Score
· 2016-02-04
Asynchronous Methods for Deep Reinforcement Learning
Code
#57
Duel noop
0
Score
No paper
Code
#58
Sarsa-φ-EB
0
Score
No paper
Code
#59
IMPALA (deep)
0
Score
No paper
Code