v0.2.0

Search Methods, Flexible Embeddings, New Graph Encoders and more 🚀

Search methods

• New flexible and extensible abstract class
• Active Search (Bello et al, 2016)
• Efficient Active Search (Hottung et al, 2022)

Flexible embeddings

• Support for changing any environment embedding (init, context and dynamic)
• Add new notebook showcasing how to solve new complex problems (example of multi-depot multi-agent pickup and delivery problem - MDPDP)

Support for torch-geometric

• Added new template graph neural networks (MPNN, GCN)
• Example Notebook here

Miscellaneous

• Separate loggers
• Better imports
• Bugfix compatibility with Mac
• Update configs
• ... and more!