v0.9.1

• 💚 Fixes OS gh actions
  • PR: #115
• 📝 Updates documentation header
  • PR: #116
• 💚 Makes sure OS actions don't run on doc change
  • PR: #117

v0.9.0

🚀 Features

• ✨ add robustness eval
  • PR: #114

v0.8.3

• ✨ Adds the ability to evaluate the policy performance from a given training checkpoint.

v0.8.1

• 📝 Updates the documentation.
• 🐛 Implements a fix for the math render problem in the documentation.

v0.7.1

This release fixes a small 🐛 bug that was present in the ray tuning example.

v0.7.0

In this release, an extra CLI option was added (--exp-cfg) was added, which can be used to load hyperparameters based on a yaml configuration file. Several example configuration files were added to the experiments folder. See the documentation for more information on this new feature.

v0.6.0

• Fixes small learning rate lower bound bug
  • PR: #105
• Format Python code with psf/black push
  • PR: #106
• Fixes plotter
  • PR: #107
• Add torch tensorboard support
  • PR: #109
• ✨ Adds TF tensorboard support
  • PR: #110
• ✨ Adds Torch GPU support
  • PR: #111
• 🐛 Makes the test_policy utility compatible with tf2
  • PR: #112
• Update the documentation and cleans up the code
  • PR: #113

🚧 First test release

🚧 This is the first test release of the Machine Learning Control package. The code in this release is therefore not throughly tested. Please open an issue if you experience problems or have suggestions.