In combination with deep reinforcement learning and implementation of time point process algorithm, Python is mainly used.

Filename	Size	Update
tpprl\.gitignore	856	2019-01-12
tpprl\.idea\misc.xml	272	2019-01-14
tpprl\.idea\modules.xml	250	2019-01-14
tpprl\.idea\workspace.xml	17284	2019-01-14
tpprl\analyze-broadcasting.py	19150	2019-01-12
tpprl\analyze-spaced-repetition.py	8262	2019-01-12
tpprl\broadcasting-analysis.csv	150328	2019-01-12
tpprl\data\initial_difficulty.csv	599	2019-01-12
tpprl\data\r_2.csv	377	2019-01-12
tpprl\data\top_k.csv	377	2019-01-12
tpprl\output-plots\algo-avg-rank.pdf	98227	2019-01-12
tpprl\output-plots\algo-top-1.pdf	98378	2019-01-12
tpprl\output-plots\item-difficulty.pdf	98291	2019-01-12
tpprl\output-plots\recall-results-14-2.pdf	63593	2019-01-12
tpprl\output-plots\reviews-every-day.pdf	64076	2019-01-12
tpprl\plot-smart-broadcasting.py	5111	2019-01-12
tpprl\README.md	3301	2019-01-12
tpprl\sbatch\exp_run.py	3783	2019-01-12
tpprl\sbatch\r_2_job.sh	471	2019-01-12
tpprl\sbatch\top_k_job.sh	497	2019-01-12
tpprl\tpprl\cells.py	15870	2019-01-12
tpprl\tpprl\exp_broadcaster.py	80062	2019-01-12
tpprl\tpprl\exp_sampler.py	29856	2019-01-12
tpprl\tpprl\exp_teacher.py	50962	2019-01-12
tpprl\tpprl\plot_utils.py	3656	2019-01-12
tpprl\tpprl\read_data_utils.py	6062	2019-01-12
tpprl\tpprl\utils.py	2566	2019-01-12
tpprl\tpprl\__init__.py	0	2019-01-12
tpprl\tpprl.iml	338	2019-01-14
tpprl\train-broadcasting.py	11038	2019-01-12
tpprl\train-teaching.py	5556	2019-01-12
tpprl\.idea	0	2019-01-14
tpprl\data	0	2019-01-14
tpprl\output-plots	0	2019-01-14
tpprl\sbatch	0	2019-01-14
tpprl\tpprl	0	2019-01-14
tpprl	0	2019-01-14

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