* trying to fix jenkins tests
* comment out more tests
* remove pytorch stuff
* use non-monotonic clock (monotonic not supported on python 2.7)
* whitespace
This introduces rllib.Evaluator and rllib.Optimizer classes. Optimizers encapsulate a particular distributed optimization strategy for RL. Evaluators encapsulate the model graph, and once implemented, any Optimizer may be "plugged in" to any algorithm that implements the Evaluator interface.
* Enable scheduling with custom resource labels.
* Fix.
* Minor fixes and ref counting fix.
* Linting
* Use .data() instead of .c_str().
* Fix linting.
* Fix ResourcesTest.testGPUIDs test by waiting for workers to start up.
* Sleep in test so that all tasks are submitted before any completes.
* Give error if a worker has a version mismatch for Python Ray, or cloudpickle.
* Check version when attaching driver to cluster.
* Only do check if the version info is present.
* Bug fix.
* Fix typo.
* wip
* with test
* add timeout
* also add test for f
* remove on cleanup
* update
* wip
* fix tests
* mark actor removed in redis
* clang-format
* fix bug when no-inprogress tasks
* try to set task status done
* Add comment.
* Add basic functionality for Cython functions and actors
* Fix up per @pcmoritz comments
* Fixes per @richardliaw comments
* Fixes per @robertnishihara comments
* Forgot double quotes when updating masked_log
* Remove import typing for Python 2 compatibility
* Add actor handle ID to the task spec
* Local scheduler dispatches actor tasks according to a task counter per handle
* Fix python test
* Allow passing actor handles into tasks. Not completely working yet. Also this is very messy.
* Fixes, should be roughly working now.
* Refactor actor handle wrapper
* Fix __init__ tests
* Terminate actor when the original handle goes out of scope
* TODO and a couple test cases
* Make tests for unsupported cases
* Fix Python mode tests
* Linting.
* Cache actor definitions that occur before ray.init() is called.
* Fix export actor class
* Deterministically compute actor handle ID
* Fix __getattribute__
* Fix string encoding for python3
* doc
* Add comment and assertion.
* fix yaml bug
* add ext agent
* gpus
* update
* tuning
* docs
* Sun Oct 15 21:09:25 PDT 2017
* lint
* update
* Sun Oct 15 22:39:55 PDT 2017
* Sun Oct 15 22:40:17 PDT 2017
* Sun Oct 15 22:43:06 PDT 2017
* Sun Oct 15 22:46:06 PDT 2017
* Sun Oct 15 22:46:21 PDT 2017
* Sun Oct 15 22:48:11 PDT 2017
* Sun Oct 15 22:48:44 PDT 2017
* Sun Oct 15 22:49:23 PDT 2017
* Sun Oct 15 22:50:21 PDT 2017
* Sun Oct 15 22:53:00 PDT 2017
* Sun Oct 15 22:53:34 PDT 2017
* Sun Oct 15 22:54:33 PDT 2017
* Sun Oct 15 22:54:50 PDT 2017
* Sun Oct 15 22:55:20 PDT 2017
* Sun Oct 15 22:56:56 PDT 2017
* Sun Oct 15 22:59:03 PDT 2017
* fix
* Update tune_mnist_ray.py
* remove script trial
* fix
* reorder
* fix ex
* py2 support
* upd
* comments
* comments
* cleanup readme
* fix trial
* annotate
* Update rllib.rst
* Worker reports error in previous task, actor task counter is incremented after task is successful
* Refactor actor task execution
- Return new task counter in GetTaskRequest
- Update worker state for actor tasks inside of the actor method
executor
* Manually invoked checkpoint method
* Scheduling for actor checkpoint methods
* Fix python bugs in checkpointing
* Return task success from worker to local scheduler instead of actor counter
* Kill local schedulers halfway through actor execution instead of waiting for all tasks to execute once
* Remove redundant actor tasks during dispatch, reconstruct missing dependencies for actor tasks
* Make executor for temporary actor methods
* doc
* Set default argument for whether the previous task was a success
* Refactor actor method call
* Simplify checkpoint task submission
* lint
* fix philipp's comments
* Add missing line
* Make actor reconstruction tests run faster
* Unimportant whitespace.
* Unimportant whitespace.
* Update checkpoint method signature
* Documentation and handle exceptions during checkpoint save/resume
* Rename get_task message field to actor_checkpoint_failed
* Fix bug.
* Remove debugging check, redirect test output
* Release GPU resources as soon as an actor exits.
* Add a test.
* Store local_scheduler_id and driver_id in the worker object instead of the actor object.
* Fix bug in wait_for_pid_to_exit, add test for actor deletion.
* Fix actor garbage collection by breaking cyclic references
* Add test for calling actor method immediately after actor creation.
* Fix bug, must dispatch tasks when workers are killed.
* Fix python test
* Fix cyclic reference problem by creating ActorMethod objects on the fly.
* Try simply increasing the time allowed for many_drivers_test.py.
