Search Results for author:
Found 3 papers, 1 papers with code
Towards Validating Long-Term User Feedbacks in Interactive Recommendation Systems
In this work, we revisited experiments on IRS with review datasets and compared RL-based models with a simple reward model that greedily recommends the item with the highest one-step reward.
Evaluation Strategy of Time-series Anomaly Detection with Decay Function
Recent algorithms of time-series anomaly detection have been evaluated by applying a Point Adjustment (PA) protocol.
JORLDY: a fully customizable open source framework for reinforcement learning
Recently, Reinforcement Learning (RL) has been actively researched in both academic and industrial fields.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
