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patrickvonplaten
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TRexGameRL
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Bump pillow from 5.2.0 to 9.3.0 in /python/docs
#75
dependabot[bot]
opened
1 year ago
0
Bump tensorflow from 1.10.0 to 2.9.3 in /python/docs
#74
dependabot[bot]
opened
1 year ago
0
Bump protobuf from 3.6.1 to 3.18.3 in /python/docs
#73
dependabot[bot]
opened
1 year ago
0
Bump html5lib from 0.9999999 to 0.999999999 in /python/docs
#72
dependabot[bot]
opened
2 years ago
0
Bump numpy from 1.14.5 to 1.22.0 in /python/docs
#71
dependabot[bot]
opened
2 years ago
0
Bump html5lib from 0.9999999 to 0.99999999 in /python/docs
#70
dependabot[bot]
closed
2 years ago
1
Bump tensorflow from 1.10.0 to 2.7.2 in /python/docs
#69
dependabot[bot]
closed
1 year ago
1
Bump tensorflow from 1.10.0 to 2.6.4 in /python/docs
#68
dependabot[bot]
closed
2 years ago
1
Bump pillow from 5.2.0 to 9.0.1 in /python/docs
#67
dependabot[bot]
closed
1 year ago
1
Bump protobuf from 3.6.1 to 3.15.0 in /python/docs
#66
dependabot[bot]
closed
1 year ago
1
Bump tensorflow from 1.10.0 to 2.5.3 in /python/docs
#65
dependabot[bot]
closed
2 years ago
1
Bump ipython from 5.8.0 to 7.16.3 in /python/docs
#64
dependabot[bot]
opened
2 years ago
0
Bump pillow from 5.2.0 to 9.0.0 in /python/docs
#63
dependabot[bot]
closed
2 years ago
1
Bump opencv-python from 3.4.3.18 to 4.2.0.32 in /python/docs
#62
dependabot[bot]
opened
2 years ago
0
Bump opencv-python from 3.4.3.18 to 3.4.7.28 in /python/docs
#61
dependabot[bot]
closed
2 years ago
1
Bump pillow from 5.2.0 to 8.3.2 in /python/docs
#60
dependabot[bot]
closed
2 years ago
1
Bump tensorflow from 1.10.0 to 2.5.1 in /python/docs
#59
dependabot[bot]
closed
2 years ago
1
Bump pillow from 5.2.0 to 8.2.0 in /python/docs
#58
dependabot[bot]
closed
3 years ago
1
Bump urllib3 from 1.23 to 1.26.5 in /python/docs
#57
dependabot[bot]
opened
3 years ago
0
Bump tensorflow from 1.10.0 to 2.5.0 in /python/docs
#56
dependabot[bot]
closed
3 years ago
1
Bump pygments from 2.2.0 to 2.7.4 in /python/docs
#55
dependabot[bot]
opened
3 years ago
0
Bump pillow from 5.2.0 to 8.1.1 in /python/docs
#54
dependabot[bot]
closed
3 years ago
1
Bump bleach from 1.5.0 to 3.3.0 in /python/docs
#53
dependabot[bot]
opened
3 years ago
0
Bump tensorflow from 1.10.0 to 2.3.1 in /python/docs
#52
dependabot[bot]
closed
3 years ago
1
Bump tensorflow from 1.10.0 to 1.15.4 in /python/docs
#51
dependabot[bot]
closed
3 years ago
1
Bump bleach from 1.5.0 to 3.1.4 in /python/docs
#50
dependabot[bot]
closed
3 years ago
1
Bump bleach from 1.5.0 to 3.1.2 in /python/docs
#49
dependabot[bot]
closed
4 years ago
1
Bump bleach from 1.5.0 to 3.1.1 in /python/docs
#48
dependabot[bot]
closed
4 years ago
1
Bump tensorflow from 1.10.0 to 1.15.2 in /python/docs
#47
dependabot[bot]
closed
3 years ago
1
Bump tensorflow from 1.10.0 to 1.15.0 in /python/docs
#46
dependabot[bot]
closed
4 years ago
1
Bump pillow from 5.2.0 to 6.2.0 in /python/docs
#45
dependabot[bot]
closed
3 years ago
1
Using LSTM with DQN
#44
patrickvonplaten
closed
4 years ago
0
Probably problem with Chrome version on train nodes vs home pc
#43
patrickvonplaten
closed
5 years ago
0
Random Network Distillation
#42
kilianyp
closed
4 years ago
1
Add initialize model/weights from other model files
#41
patrickvonplaten
closed
5 years ago
0
Add keras save weights and load weights function so that weights can be shared between networks
#40
patrickvonplaten
closed
5 years ago
0
Split main.py into pure config and main.py and put config on .gitignore
#39
patrickvonplaten
closed
5 years ago
0
Create method to save memory with model everytime model is saved
#38
patrickvonplaten
closed
4 years ago
0
integrate priority play into master
#37
patrickvonplaten
closed
5 years ago
0
Add testing functions for different modules in tRexTesting
#36
patrickvonplaten
closed
4 years ago
0
clean up main.py -> separate configs for different classes? and then stack together?
#35
patrickvonplaten
closed
5 years ago
0
Implement Double DQN Learning
#34
patrickvonplaten
closed
5 years ago
1
Refactor saving weights and implement restoring progress.
#33
kilianyp
closed
5 years ago
0
Implement Prioritized Experience Replay
#32
patrickvonplaten
closed
5 years ago
1
Create some kind of restart mechanism uses latest saved weights in case of failure (especially when running on other computers via ssh)
#31
patrickvonplaten
closed
5 years ago
2
Think about good initialization - write init function or init class taking trained weights (all & specific layers only)
#30
patrickvonplaten
closed
5 years ago
0
Network weights should be saved every x epochs - add to code
#29
patrickvonplaten
closed
5 years ago
0
change bash script for runOnCluster branch that automatically changes log dir to correct dir
#28
patrickvonplaten
closed
5 years ago
0
Build the Dueling DQN (aka DDQN)
#27
patrickvonplaten
closed
5 years ago
1
Separate into target and train network to stabilize training
#26
patrickvonplaten
closed
5 years ago
0
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