Releases: takuseno/minerva
Release v0.40
Release v0.32
a way to upload images is changed
Previously, the image files are uploaded via selecting the directory that contains all the files. However this is an easy way, the browser limits the number of files due to the efficiency issue. So, from this version, you can upload zipped file that contains the image files. This is the more efficient and fast way.
Release v0.31
enhancements
- improve temporary directory for multiple OS support
bugfix
- update documentation
- fix epoch count
Release v0.30
Support d3rlpy v0.70!
MINERVA now supports d3rlpy v0.70, which has a lot of progress from the v0.41 that is the previous dependency.
These are some highlights related to MINERVA.
- the continuous action is automatically normalized based on the dataset statistics
discrete action
option has been removed since the action-space is automatically detected- many other internal enhancements
Release v0.20
Support d3rlpy v0.41!
MINERVA now supports d3rlpy v0.41, which has a lot of progress from the v0.23 that is the previous dependency.
These are the some highlights related to MINERVA.
- extremely fast mini-batch creation
- extremely fast frame stacking for image observation
- extremely fast N-step TD calculation
- new metrics
- etc
Algorithm Selection
MINERVA now provides many many algorithms for both discrete and continuous control datasets. You can choose an algorithm at the project creation dialog.
discrete algorithms
- DQN
- Double DQN
- AWR
- CQL
- BCQ
- SAC
continuous algorithms
- DDPG
- TD3
- SAC
- BCQ
- BEAR
- CQL
- AWR
- AWAC
- PLAS
Of course, there is the Q function option to incorporate arbitrary algorithms with the powerful distributional Q functions.
Q functions
- mean
- Quantile Regression
- Implicit Quantile Network
- Fully parameterized Quantile Function
Release v0.12
Hotfix
- Fix reserved keyword confliction with Python 3.7
First release!
Dataset Dashboard
- upload datasets
- discrete/continuous action-space
- vector/image observations
Project Dashboard
- train with CQL with detailed configurations.
Export Policy
- Support TorchScript and ONNX.