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
