9 Commits

Author	SHA1	Message	Date
Itai Caspi	d302168c8c	Parallel agents fixes (#95) ... * Parallel agents related bug fixes: checkpoint restore, tensorboard integration. Adding narrow networks support. Reference code for unlimited number of checkpoints	2018-05-24 14:24:19 +03:00
Itai Caspi	a7206ed702	Multiple improvements and bug fixes (#66) ... * Multiple improvements and bug fixes: * Using lazy stacking to save on memory when using a replay buffer * Remove step counting for evaluation episodes * Reset game between heatup and training * Major bug fixes in NEC (is reproducing the paper results for pong now) * Image input rescaling to 0-1 is now optional * Change the terminal title to be the experiment name * Observation cropping for atari is now optional * Added random number of noop actions for gym to match the dqn paper * Fixed a bug where the evaluation episodes won't start with the max possible ale lives * Added a script for plotting the results of an experiment over all the atari games	2018-02-26 12:29:07 +02:00
Zach Dwiel	85afb86893	temp commit	2018-02-21 10:05:57 -05:00
Gal Leibovich	7c8962c991	adding support in tensorboard (#52) ... * bug-fix in architecture.py where additional fetches would acquire more entries than it should * change in run_test to allow ignoring some test(s)	2018-02-05 15:21:49 +02:00
Itai Caspi	43821c9630	adding the selu activation	2018-01-22 12:05:43 +02:00
Zach Dwiel	6c79a442f2	update nec and value optimization agents to work with recurrent middleware	2018-01-05 20:16:51 -05:00
Zach Dwiel	9ae2905a76	clean up input embeddings setup	2017-11-14 17:39:18 +02:00
Itai Caspi	a8bce9828c	new feature - implementation of Quantile Regression DQN (https://arxiv.org/pdf/1710.10044v1.pdf) ... API change - Distributional DQN renamed to Categorical DQN	2017-11-01 15:09:07 +02:00
Gal Leibovich	1d4c3455e7	coach v0.8.0	2017-10-19 13:10:15 +03:00