v0.3.0

Faster Library, Python 3.11 and new TorchRL support, Envs, Models, Multiple Dataloaders, and more 🚀

Faster Library, new Python 3.11 and TorchRL

• Update to latest TorchRL #72, solving several issues as #95 #97 (also see this)
• Benchmarking:
  • Up to 20% speedup in training epochs thanks to faster TensorDict and new env updates
  • Almost instant data generation (avoid list comprehension, e.g. from ~20 seconds to <1 second per epoch!)
• Python 3.11 now available #97

New SMTWTP environment

• Add new scheduling problem: Single Machine Total Weighted Tardiness Problem environment as in DeepACO @henry-yeh

New MatNet model

• Add MatNet version for square matrices (faster implementation ideal for routing problems)
• Should be easy to implement scheduling from here

Multiple Dataloaders

• Now it is possible to have multiple dataloaders, with naming as well!
  • For example, to track generalization during training

Miscellaneous

• Fix POMO shapes @hyeok9855 , modularizing PPO etc
• Fix precion bug for PPO
• New AI4CO transfer!