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PPOCoder
Code for the TMLR 2023 paper "PPOCoder: Execution-based Code Generation using Deep Reinforcement Learning"
https://openreview.net/forum?id=0XBuaxqEcG
MIT License
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synthesis task
#16
TracyTd
opened
8 months ago
1
Update README.md
#15
parshinsh
closed
10 months ago
0
Delete __pycache__ directory
#14
parshinsh
closed
10 months ago
0
Update run.sh
#13
PhigerPeng
closed
12 months ago
0
Pretrained models
#12
AhmedKhaled945
opened
1 year ago
0
Hello, I noticed that the code snippet "for samp in range(n_syn_samples):" seems to be just multiplying the number of epochs by a factor of n_syn_samples. Is this code segment irrelevant?
#11
yiyangchen1
closed
1 year ago
0
Update README.md
#10
parshinsh
closed
1 year ago
0
When calculating value function loss, it seems that the value function has not been updated, and the new value function is equal to the old value function. Is this situation reasonable
#9
WUHU-G
closed
1 year ago
2
About Running on tasks other than Program Translation
#8
lhaausing
closed
1 year ago
4
Code Completion Finetuning on CodeSearchNet
#7
wannita901
closed
1 year ago
4
About data preprocessing for APPS
#6
Switchsyj
closed
1 year ago
5
requirements.txt
#5
peppa-xyz
closed
1 year ago
1
A set of tests in which the code accomplishes the task
#4
lbl159357
closed
1 year ago
1
Local file paths in requirements.txt
#3
abukharin3
closed
1 year ago
3
Create LICENSE
#2
parshinsh
closed
1 year ago
0
Added binary compilation reward and accessory code
#1
aneeshjain
closed
2 years ago
0