* added deterministic check for objects received in fetch_timeout_handler.
* use receive time, in case something goes wrong after object is received.
* increase timeout for removal.
* indentation fix.
* make log info log debug. clean up debug log.
* undo unecessary changes.
* changed description var.
* shorten line 949.
* incorporate feedback.
* linting; make is_object_received function consts.
* change semantics of received_objects to objects being received.
added checks to both points at which objects are re-requested.
updated object receive initialization accordingly.
* eliminate erase on receive init. check call to request_transfer_from instead of request_transfer.
* updated comments.
* added todo for multiple object transfers.
* linting.
Adds a Population-Based Training (as described in https://arxiv.org/abs/1711.09846) scheduler to Ray.tune. Currently mutates hyperparameters according to either a user-defined list of possible values to mutate to (necessary if hyperparameters can only be certain values ex. sgd_batch_size), or by a factor of 0.8 or 1.2.
* Bring cloudpickle version 0.5.2 inside the repo.
* Use internal copy of cloudpickle everywhere.
* Fix linting.
* Import ordering.
* Change __init__.py.
* Set pickler in serialization context.
* Don't check ray location.
Remove rllib dep: trainable is now a standalone abstract class that can be easily subclassed.
Clean up hyperband: fix debug string and add an example.
Remove YAML api / ScriptRunner: this was never really used.
Move ray.init() out of run_experiments(): This provides greater flexibility and should be less confusing since there isn't an implicit init() done there. Note that this is a breaking API change for tune.
* Add failing unit test for nondeterministic reconstruction
* Retry scheduling actor tasks if reassigned to local scheduler
* Update execution edges asynchronously upon dispatch for nondeterministic reconstruction
* Fix bug for updating checkpoint task execution dependencies
* Update comments for deterministic reconstruction
* cleanup
* Add (and skip) failing test case for nondeterministic reconstruction
* Suppress test output
* working multi action distribution and multiagent model
* currently working but the splits arent done in the right place
* added shared models
* added categorical support and mountain car example
* now compatible with generalized advantage estimation
* working multiagent code with discrete and continuous example
* moved reshaper to utils
* code review changes made, ppo action placeholder moved to model catalog, all multiagent code moved out of fcnet
* added examples in
* added PEP8 compliance
* examples are mostly pep8 compliant
* removed all flake errors
* added examples to jenkins tests
* fixed custom options bug
* added lines to let docker file find multiagent tests
* shortened example run length
* corrected nits
* fixed flake errors
* some autoscaling config tweaks
* Sun Jan 14 13:56:55 PST 2018
* Mon Jan 15 14:21:09 PST 2018
* increase backoff
* Mon Jan 15 14:40:47 PST 2018
* check boto version
