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danijar
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dreamerv2
Mastering Atari with Discrete World Models
https://danijar.com/dreamerv2
MIT License
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Question about advantage calculation
#60
leeacord
opened
3 months ago
0
Code For: "Algorithm 1: Straight-Through Gradients with Automatic Differentiation"
#59
lucasmgomez
closed
5 months ago
1
Are the actions properly fed into the model?
#58
NagisaZj
opened
7 months ago
0
Cannot reproduce Atari Pong scores
#57
mlinda96
opened
11 months ago
0
How to reproduce DayDreamer's results in A1 simulator?
#56
Sapio-S
opened
1 year ago
0
Outdated dependencies and broken examples
#55
Namnodorel
opened
1 year ago
1
Fix Docker build settings for January 20, 2023
#54
ricrowl
opened
1 year ago
0
Performance difference between TruncNormal and TanhNormal
#53
IcarusWizard
opened
1 year ago
0
Reward different on evaluation
#52
ipsec
closed
1 year ago
1
the Desire of Hyperparameters of Humanoid-Walk
#51
XueruiSu
opened
1 year ago
0
Understanding re-clipping in Truncated Normal distribution
#50
pvskand
closed
1 year ago
1
How does dreamerv2 perform on feature-based tasks?
#49
xlnwel
closed
1 year ago
4
Prediction returning the same action from different observations
#48
ipsec
closed
1 year ago
0
Update Dockerfile to use tensorflow/tensorflow:2.10.0-gpu
#47
ikeyasu
opened
1 year ago
0
Minimal evaluation/example using gym observation
#46
ipsec
closed
1 year ago
4
ValueError: . Tensor must have rank 4. Received rank 3, shape (208, 64, 64)
#45
ipsec
closed
1 year ago
1
Why share states across random batches for training the world model?
#44
sai-prasanna
closed
2 years ago
1
Questions about expl.py and updating the batch dataset
#43
Ashminator
closed
2 years ago
2
Questions on Imagination MDP and imagination horizon H = 15
#42
GoingMyWay
closed
1 year ago
0
Why stop-grad on actor's input state in imagine() function ?
#41
tominku
closed
2 years ago
1
replay data memory usage?
#40
tominku
closed
2 years ago
1
Can't reproduce riverraid's results
#39
luizapozzobon
closed
2 years ago
2
Update the way env.py receives RAM state
#38
amshin98
opened
2 years ago
0
Straight-thru gradients vs Gumbel Softmax
#37
zplizzi
closed
2 years ago
1
Should policy state be reset after every episode?
#36
edwhu
closed
2 years ago
1
Batch size = 16?
#35
mctigger
closed
2 years ago
1
Plot.py not working properly
#34
lcdbezerra
closed
2 years ago
1
What does "openl" do / mean?
#33
edwhu
closed
2 years ago
1
Fix sum KL distribution across both latent dims.
#32
fvisin
closed
2 years ago
1
KeyError: 'dmc' while trying to run walker?
#31
mrmarten
closed
2 years ago
2
The result for atari enduro in the paper is not reproduced
#30
jsikyoon
closed
2 years ago
2
How many environment steps per update?
#29
mctigger
closed
2 years ago
3
procgen env
#28
hlsfin
closed
2 years ago
1
Offsets in actor loss calculation
#27
mctigger
closed
2 years ago
1
How to save and reload trained dreamerv2 models
#26
Adaickalavan
closed
2 years ago
1
Lamba Target Equation
#25
lewisboyd
closed
2 years ago
4
How to run dreamerv2 on atari games
#24
KimiakiShirahama
closed
2 years ago
1
Question about Plan2explore
#23
TachikakaMin
closed
2 years ago
1
AssertionError and AttributeError dreamerv2 in jupyter-notebook
#22
balloch
closed
2 years ago
1
Change ```eval_envs``` to ```num_eval_envs```
#21
alirahkay
closed
2 years ago
1
Does the actor-critc train using only the stochastic state?
#20
lewisboyd
closed
2 years ago
4
Skipped short episode of length 10.
#19
robjlyons
closed
2 years ago
1
Discount predictor invalid log_prob targets?
#18
niklasdbs
closed
3 years ago
1
Questions about atari evaluation protocol
#17
jmkim0309
closed
3 years ago
1
Pickle and shape issues
#16
robjlyons
closed
3 years ago
1
Tuple Actions Space
#15
robjlyons
closed
3 years ago
1
Intrinsic Rewards
#14
robjlyons
closed
3 years ago
2
Render episodes
#13
robjlyons
closed
3 years ago
1
Setting random seed
#12
izkula
closed
3 years ago
1
Commented version of the code
#11
juliancodaforno
closed
3 years ago
1
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