2.34.0
Release 2.34.0 Notes
Added 4
- Add better support for UDF returns from list of datetime objects
- Initial design for Ray-Data based offline RL Algos on new API stack
- Add user-defined schemas for data loading
- Make data pipeline better configurable and tuneable for users
Changed 3
- Move DQN into the TargetNetworkAPI
- Cleanup, rename, clarify: Algorithm.workers/evaluation_workers, local_worker(), etc.
- Add new python GcsClient binding
Fixed 3
- Remove read task warning if size bytes not set in metadata
- Sort workers by node ID rather than by node IP
- Rename all np.product usage to np.prod for numpy compatibility
Removed 1
- Remove dead RayDatasetSpec
Deprecated 1
- Deprecate RLModuleWithTargetNetworksInterface
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