Comments (4)
sebastien-forestier
commented on August 22, 2024
1
I just uploaded this morning explauto 1.4.0 on Pypi, did you upgrade ?
pip install --upgrade explauto
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maxymczech
commented on August 22, 2024
1
Aha, sorry, I didn't :) Thank you again very much!
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sebastien-forestier
commented on August 22, 2024
Hi @dantistus ,
It should be fine now with explauto 1.4.0
Sébastien
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maxymczech
commented on August 22, 2024
Thanks for quick response. Sorry for reopening. I have recently installed explauto on two systems (windows 10 and ubuntu 18) and on both pip install explauto installed version 1.3.0:
pip show explauto
Name: explauto
Version: 1.3.0
Summary: Python Library for Autonomous Exploration
Home-page: https://github.com/flowersteam/explauto
Author: Clement Moulin-Frier, Pierre Rouanet, Sebastien Forestier
Author-email: [email protected]
License: GNU GENERAL PUBLIC LICENSE Version 3
Location: /home/user/explauto/build/lib
Requires: numpy, scikit-learn, scipy
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Related Issues (20)
- Which part of the code is actually used in gmminf? HOT 1
- Running a simple experiment on the Poppy Robot HOT 4
- Import third_party error HOT 2
- progress computation in discretized interest model HOT 5
- Put forward and inverse models in explauto/models ? HOT 4
- Start where we left: save and load experiments HOT 5
- Design architecture of GMR HOT 4
- What is the logic behind competence_dist? HOT 6
- forward/inverse check HOT 1
- sensorimotor model I/O mapping HOT 2
- Explaining the logic behing uniform_sensor_testcases? HOT 3
- Utiliser exploauto pour apprendre des actions complexes via l'algo SGIM-ACTS HOT 1
- Meaning of n_sample in gmm_progress HOT 2
- Sampling bias in gmm_progress HOT 1
- ImportError: No module named 'inverse' (Python 3.4) HOT 2
- Tutorial on using a lower-level stochastic policy optimizer in goal exploration processes HOT 1
- tree seems to be worse than discretized_progress in the evaluation plots HOT 3
- gmminf covariance not available
- Custom sensory effect distance function?
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