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v2.2.0

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@josephdviviano josephdviviano released this 03 Sep 15:47
· 65 commits to master since this release
b166e44

High Level

  • Added Generative Augmented Flow Networks example (https://arxiv.org/abs/2210.03308), which specifies intermediate rewards with intrinsic motivation to help with the exploration problem in sparse reward environments.
  • Extended graph functionality (e.g., add nodes as an action).
  • More efficient autoregressive GFN training.

What's Changed

Full Changelog: v2.1.1...v2.2.0