Release Notes
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