Core
- Added experimental option to limit Redis memory usage. #3499
- Added option for restarting failed actors. #3332
- Fixed Plasma TensorFlow operator memory leak. #3448
- Fixed compatibility issue with TensorFlow and PyTorch. #3574
- Miscellaneous code refactoring and cleanup. #3563 #3564 #3461 #3511
- Documentation. #3427 #3535 #3138
- Several stability improvements. #3592 #3597
RLlib
- Multi-GPU support for Multi-agent PPO. #3479
- Unclipped actions are sent to learner. #3496
rllib rollout
now also preprocesses observations. #3512- Basic Offline Data API added. #3473
- Improvements to metrics reporting in DQN. #3491
- AsyncSampler no longer auto-concats. #3556
- QMIX Implementation (Experimental). #3548
- IMPALA performance improvements. #3402
- Better error messages. #3444
- PPO performance improvements. #3552
Autoscaler
Ray Tune
- Lambdas now require
tune.function
wrapper. #3457 - Custom loggers, sync functions, and trial names are now supported. #3465
- Improvements to fault tolerance. #3414
- Variant Generator docs clarification. #3583
trial_resources
now renamed toresources_per_trial
. #3580
Modin
- Modin 0.2.5 is now bundled with Ray
import modin
afterimport ray
- Modin 0.2.5 release notes
- Greater than memory support for object store. #3450
Known Issues
- Object broadcasts on large clusters are inefficient. #2945