Release Notes
Version 0.9.0
Release Highlights
RL/GT: New environment model Homogeneous Matrix
Revision of all example files (howtos)
Extensions to the documentation
Minor corrections
Integration to Zenodo (doi management)
Version 0.8.6
Release Highlights
Adding MANIFEST.in for including additional data package for UR5 ROS Environment
Version 0.8.5
Release Highlights
RL/GT: Improvements and fixes of training - especially stagnation detection
RL/GT: Introduction of new environment Double Pendulum
RL/GT: Improvement of installation procedure of UR5 environment
Numerous corrections and improvements
Fixed Issues
BF: Loading/storing of objects uses Dill instead of Pickle
RL/GT: minor corrections on MultiCartPole environment
RL/GT: performance optimization of SB3 wrapper (off-policy)
RL/GT: Wrappers OpenAI Gym and PettingZoo: removed redundant cycle counting
Documentation Changes
Class diagrams resized
Structure of environment documentation assigned to example documentation
Appendix 1 (examples) restructured
Disclaimer added
Version 0.8.1
Release Highlights
RL/GT: New environment Multi Geometry Robot
Version 0.8.0
Release Highlights
1 Sub-Package Reinforcement Learning
Support of model-based agents (MBRL)
Support of multi-agents (MARL)
Training and hyperparameter tuning with progress detection
Ready to use sample environments
Full 3rd party support (OpenAI Gym, PettingZoo, Stable Baselines 3)
2 Sub-Package Game Theory
Models for cooperative game theoretical approaches
3 Numerous ready to run examples
4 API Reference