Release 2.34.0 Notes

Ray Libraries

Ray Data

💫 Enhancements:

• Add better support for UDF returns from list of datetime objects (#46762)

🔨 Fixes:

• Remove read task warning if size bytes not set in metadata (#46765)

📖 Documentation:

• Fix read_tfrecords() docstring to display tfx-bsl tip (#46717)
• Update Dataset.zip() docs (#46757)

Ray Train

🔨 Fixes:

• Sort workers by node ID rather than by node IP (#46163)

🏗 Architecture refactoring:

• Remove dead RayDatasetSpec (#46764)

RLlib

🎉 New Features:

• Offline RL support on new API stack:
  • Initial design for Ray-Data based offline RL Algos (on new API stack). (#44969)
  • Add user-defined schemas for data loading. (#46738)
  • Make data pipeline better configurable and tuneable for users. (#46777)

💫 Enhancements:

• Move DQN into the TargetNetworkAPI (and deprecate RLModuleWithTargetNetworksInterface). (#46752)

🔨 Fixes:

• Numpy version fix: Rename all np.product usage to np.prod (#46317)

📖 Documentation:

• Examples for new API stack: Add 2 (count-based) curiosity examples. (#46737)
• Remove RLlib CLI from docs (soon to be deprecated and replaced by python API). (#46724)

🏗 Architecture refactoring:

• Cleanup, rename, clarify: Algorithm.workers/evaluation_workers, local_worker(), etc.. (#46726)

Ray Core

🏗 Architecture refactoring:

• New python GcsClient binding (#46186)

Many thanks to all those who contributed to this release! @KyleKoon, @ruisearch42, @rynewang, @sven1977, @saihaj, @aslonnie, @bveeramani, @akshay-anyscale, @kevin85421, @omatthew98, @anyscalesam, @MaxVanDijck, @justinvyu, @simonsays1980, @can-anyscale, @peytondmurray, @scottjlee