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.
* wip
* Sat Dec 30 15:07:28 PST 2017
* log video
* video doesn't work well
* scenario integration
* Sat Dec 30 17:30:22 PST 2017
* Sat Dec 30 17:31:05 PST 2017
* Sat Dec 30 17:31:32 PST 2017
* Sat Dec 30 17:32:16 PST 2017
* Sat Dec 30 17:34:11 PST 2017
* Sat Dec 30 17:34:50 PST 2017
* Sat Dec 30 17:35:34 PST 2017
* Sat Dec 30 17:38:49 PST 2017
* Sat Dec 30 17:40:39 PST 2017
* Sat Dec 30 17:43:00 PST 2017
* Sat Dec 30 17:43:04 PST 2017
* Sat Dec 30 17:45:56 PST 2017
* Sat Dec 30 17:46:26 PST 2017
* Sat Dec 30 17:47:02 PST 2017
* Sat Dec 30 17:51:53 PST 2017
* Sat Dec 30 17:52:54 PST 2017
* Sat Dec 30 17:56:43 PST 2017
* Sat Dec 30 18:27:07 PST 2017
* Sat Dec 30 18:27:52 PST 2017
* fix train
* Sat Dec 30 18:41:51 PST 2017
* Sat Dec 30 18:54:11 PST 2017
* Sat Dec 30 18:56:22 PST 2017
* Sat Dec 30 19:05:04 PST 2017
* Sat Dec 30 19:05:23 PST 2017
* Sat Dec 30 19:11:53 PST 2017
* Sat Dec 30 19:14:31 PST 2017
* Sat Dec 30 19:16:20 PST 2017
* Sat Dec 30 19:18:05 PST 2017
* Sat Dec 30 19:18:45 PST 2017
* Sat Dec 30 19:22:44 PST 2017
* Sat Dec 30 19:24:41 PST 2017
* Sat Dec 30 19:26:57 PST 2017
* Sat Dec 30 19:40:37 PST 2017
* wip models
* reward bonus
* test prep
* Sun Dec 31 18:45:25 PST 2017
* Sun Dec 31 18:58:28 PST 2017
* Sun Dec 31 18:59:34 PST 2017
* Sun Dec 31 19:03:33 PST 2017
* Sun Dec 31 19:05:05 PST 2017
* Sun Dec 31 19:09:25 PST 2017
* fix train
* kill
* add tuple preprocessor
* Sun Dec 31 20:38:33 PST 2017
* Sun Dec 31 22:51:24 PST 2017
* Sun Dec 31 23:14:13 PST 2017
* Sun Dec 31 23:16:04 PST 2017
* Mon Jan 1 00:08:35 PST 2018
* Mon Jan 1 00:10:48 PST 2018
* Mon Jan 1 01:08:31 PST 2018
* Mon Jan 1 14:45:44 PST 2018
* Mon Jan 1 14:54:56 PST 2018
* Mon Jan 1 17:29:29 PST 2018
* switch to euclidean dists
* Mon Jan 1 17:39:27 PST 2018
* Mon Jan 1 17:41:47 PST 2018
* Mon Jan 1 17:44:18 PST 2018
* Mon Jan 1 17:47:09 PST 2018
* Mon Jan 1 20:31:02 PST 2018
* Mon Jan 1 20:39:33 PST 2018
* Mon Jan 1 20:40:55 PST 2018
* Mon Jan 1 20:55:06 PST 2018
* Mon Jan 1 21:05:52 PST 2018
* fix env path
* merge richards fix
* fix hash
* Mon Jan 1 22:04:00 PST 2018
* Mon Jan 1 22:25:29 PST 2018
* Mon Jan 1 22:30:42 PST 2018
* simplified reward function
* add framestack
* add env configs
* simplify speed reward
* Tue Jan 2 17:36:15 PST 2018
* Tue Jan 2 17:49:16 PST 2018
* Tue Jan 2 18:10:38 PST 2018
* add lane keeping simple mode
* Tue Jan 2 20:25:26 PST 2018
* Tue Jan 2 20:30:30 PST 2018
* Tue Jan 2 20:33:26 PST 2018
* Tue Jan 2 20:41:42 PST 2018
* ppo lane keep
* simplify discrete actions
* Tue Jan 2 21:41:05 PST 2018
* Tue Jan 2 21:49:03 PST 2018
* Tue Jan 2 22:12:23 PST 2018
* Tue Jan 2 22:14:42 PST 2018
* Tue Jan 2 22:20:59 PST 2018
* Tue Jan 2 22:23:43 PST 2018
* Tue Jan 2 22:26:27 PST 2018
* Tue Jan 2 22:27:20 PST 2018
* Tue Jan 2 22:44:00 PST 2018
* Tue Jan 2 22:57:58 PST 2018
* Tue Jan 2 23:08:51 PST 2018
* Tue Jan 2 23:11:32 PST 2018
* update dqn reward
* Thu Jan 4 12:29:40 PST 2018
* Thu Jan 4 12:30:26 PST 2018
* Update train_dqn.py
* fix
* revamp saving
* smaller jpgs
* hide verbose
* Tue Dec 19 22:25:01 PST 2017
* make sure temp dirs sort lexiographically
* save total reward too
* zero pad i
* 160x160 dqn
* ever higher res dqn
* Synchronous parameter server example.
* Added sync parameter server example to documentation index.
* Consolidate documentation and minor simplifications.
* Fix linting.
* 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
* Test example applications in Jenkins.
* Fix default upload_dir argument for Algorithm class.
* Fix evolution strategies.
* Comment out policy gradient example which doesn't seem to work.
* Set --env-name for evolution strategies.
* 4 space indentation for actor.py.
* 4 space indentation for worker.py.
* 4 space indentation for more files.
* 4 space indentation for some test files.
* Check indentation in Travis.
* 4 space indentation for some rl files.
* Fix failure test.
* Fix multi_node_test.
* 4 space indentation for more files.
* 4 space indentation for remaining files.
* Fixes.
* configuration option for tensorflow debugger
* add model checkpointing
* fix linting
* make it possible to run without checkpointing
* fix
* loading from checkpoint and expose debugger through cli
* todo for filters
* Fix typo.
* add tf metrics
* comments
* fix network scopes
* add doc
* initial work
* try with 3 virtual cpus
* clean up metrics
* use format string
* fix trace level
* back to pong
* always run summary on cpu
* plot intermediate and final sgd stats
* add back a global step
* update
* add timeline
* use staging area and reuse weights properly
* stage at cpu
* whoops, stage only the batch
* clean up a bit
* fix py flake
* wip
* create an optimizer graph per device
* print timeline on 5th batch instead
* print examples per second
* log placement for training ops
* force placement on cpu:0
* try separating weights onto different gpus
* try using nccl
* add cpu fallback
* remove space from date
* check has gpu device
* fix flag config
* checkpoint
* wip
* update
* add some timing
* trace loading
* try cpu
* revert that
* remove expensive test
* lint
* cleanups
* clean up timers
* clean it up a bit
* fix code for non-scalar action spaces
* address some nits
* fix quotes
* efficient shuffling between sgd epochs
* add tf metrics
* comments
* fix network scopes
* add doc
* use format string
* fix trace level
* plot intermediate and final sgd stats
* add back a global step
* Perform ray.register_class under the hood.
* Fix bug.
* Release worker lock when waiting for imports to arrive in get.
* Remove calls to register_class from examples and tests.
* Clear serialization state between tests.
* Fix bug and add test for multiple custom classes with same name.
* Fix failure test.
* Fix linting and cleanups to python code.
* Fixes to documentation.
* Implement recursion depth for recursively registering classes.
* Fix linting.
* Push warning to user if waiting for class for too long.
* Fix typos.
* Don't export FunctionToRun if pickling the function fails.
* Don't broadcast class definition when pickling class.
* Test examples for pep8 compliance.
* Make rl_pong example pep8 compliant.
* Make policy gradient example pep8 compliant.
* Make lbfgs example pep8 compliant.
* Make hyperopt example pep8 compliant.
* Make a3c example pep8 compliant.
* Make evolution strategies example pep8 compliant.
* Make resnet example pep8 compliant.
* Fix.
* Direction substitution of @ray.remote -> @ray.task.
* Changes to make '@ray.task' work.
* Instantiate actors with Class.remote() instead of Class().
* Convert actor instantiation in tests and examples from Class() to Class.remote().
* Change actor method invocation from object.method() to object.method.remote().
* Update tests and examples to invoke actor methods with .remote().
* Fix bugs in jenkins tests.
* Fix example applications.
* Change @ray.task back to @ray.remote.
* Changes to make @ray.actor -> @ray.remote work.
* Direct substitution of @ray.actor -> @ray.remote.
* Fixes.
* Raise exception if @ray.actor decorator is used.
* Simplify ActorMethod class.
* pong on pixels working (not cleaned up)
* make training compatible with all atari games
* cartpole runs
* Update documentation and usage for policy gradients.
* Initial conversion
* Further changes
* fixes
* some changes
* Fixes
* Added data pipeline
* Added updates to cifar
* Currently borken need sep pr
* Added test for retriving variables from an optimizer
* Removed FlAG ref in environment variables
* Added comments to test
* Addressed comments
* Added updates
* Made further changes for tfutils
* Fixed finalized bug
* Removed ipython
* Added accuracy printing
* Temp commit
* added fixes
* changes
* Added writing to file
* Fixes for gpus
* Cleaned up code
* Temp commit
* Gpu support fully implemented
* Updated to use num_gpus for actors
* Finished testing gpus implementation
* Changed to be more in line with origin implementation
* Updated test to use actors
* Added support for cpu only systems
* Now works with no cpus
* Minor changes and some documentation.
* Added test for retriving variables from an optimizer
* Added comments to test
* Addressed comments
* Fixed travis bug
* Added fix to circular controls
* Added set for explored operations and duplicate prefix stripping
* Removed embeded ipython
* Removed prefix, use seperate graph for each network
* Removed redundant imports
* Addressed comments and added separate graph to initializer
* fix typos
* get rid of prefix in documentation
* Remove start_ray_local from ray.init and change default number of workers to 10.
* Remove alexnet example.
* Move array methods to experimental.
* Remove TRPO example.
* Remove old files.
* Compile plasma when we build numbuf.
* Address comments.
* Updated code to mesh with get_weights returning a dict and new tf code
* Added tf.global_variables_initalizer to hyperopt example as well
* Small fix.
* Small name change.
