Rui Wu

According to our database, Rui Wu authored at least 4 papers between 2019 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Data Efficient Training for Reinforcement Learning with Adaptive Behavior Policy Sharing.

Ge Liu, Rui Wu, Heng-Tze Cheng, Jing Wang, Jayden Ooi, Lihong Li, Ang Li, Wai Lok Sibon Li, Craig Boutilier, Ed H. Chi

CoRR, 2020

2019

RecSim: A Configurable Simulation Platform for Recommender Systems.

Eugene Ie, Chih-Wei Hsu, Martin Mladenov, Vihan Jain, Sanmit Narvekar, Jing Wang, Rui Wu, Craig Boutilier

CoRR, 2019

Reinforcement Learning for Slate-based Recommender Systems: A Tractable Decomposition and Practical Methodology.

Eugene Ie, Vihan Jain, Jing Wang, Sanmit Narvekar, Ritesh Agarwal, Rui Wu, Heng-Tze Cheng, Morgane Lustman, Vince Gatto, Paul Covington, Jim McFadden, Tushar Chandra, Craig Boutilier

CoRR, 2019

SlateQ: A Tractable Decomposition for Reinforcement Learning with Recommendation Sets.

Eugene Ie, Vihan Jain, Jing Wang, Sanmit Narvekar, Ritesh Agarwal, Rui Wu, Heng-Tze Cheng, Tushar Chandra, Craig Boutilier

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019