Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Handling Missing Data in Decision Trees: A Probabilistic Approach

Jun 29, 2020
Pasha Khosravi, Antonio Vergari, YooJung Choi, Yitao Liang, Guy Van den Broeck


  Access Paper or Ask Questions

On Effective Parallelization of Monte Carlo Tree Search

Jun 15, 2020
Anji Liu, Yitao Liang, Ji Liu, Guy Van den Broeck, Jianshu Chen


  Access Paper or Ask Questions

Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration

Feb 27, 2020
Anji Liu, Yitao Liang, Guy Van den Broeck

* In Proc. of the 19th International Conference on Autonomous Agents and Multiagent Systems, IFAAMAS 2020 

  Access Paper or Ask Questions

LaTeS: Latent Space Distillation for Teacher-Student Driving Policy Learning

Dec 06, 2019
Albert Zhao, Tong He, Yitao Liang, Haibin Huang, Guy Van den Broeck, Stefano Soatto


  Access Paper or Ask Questions

On Tractable Computation of Expected Predictions

Oct 31, 2019
Pasha Khosravi, YooJung Choi, Yitao Liang, Antonio Vergari, Guy Van den Broeck


  Access Paper or Ask Questions

What to Expect of Classifiers? Reasoning about Logistic Regression with Missing Features

Mar 05, 2019
Pasha Khosravi, Yitao Liang, YooJung Choi, Guy Van den Broeck


  Access Paper or Ask Questions

Learning Logistic Circuits

Feb 27, 2019
Yitao Liang, Guy Van den Broeck

* @proceedings{liang2019logistic, title = {Proceedings of the Thirty-Third {AAAI} Conference on Artificial Intelligence (AAAI-19)}, publisher = {{AAAI} Press}, year = {2019} } 
* Published in the Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI19) 

  Access Paper or Ask Questions

Horizon: Facebook's Open Source Applied Reinforcement Learning Platform

Nov 01, 2018
Jason Gauci, Edoardo Conti, Yitao Liang, Kittipat Virochsiri, Yuchen He, Zachary Kaden, Vivek Narayanan, Xiaohui Ye

* 6 pages 

  Access Paper or Ask Questions

A Semantic Loss Function for Deep Learning with Symbolic Knowledge

Jun 08, 2018
Jingyi Xu, Zilu Zhang, Tal Friedman, Yitao Liang, Guy Van den Broeck

* This version appears in the Proceedings of the 35th International Conference on Machine Learning (ICML 2018) 

  Access Paper or Ask Questions

Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing

Jun 01, 2018
Zehong Hu, Yitao Liang, Yang Liu, Jie Zhang

* 23 pages, 3 figures 

  Access Paper or Ask Questions

State of the Art Control of Atari Games Using Shallow Reinforcement Learning

Apr 21, 2016
Yitao Liang, Marlos C. Machado, Erik Talvitie, Michael Bowling

* A shorter version of this paper appears in the Proceedings of the 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2016) 

  Access Paper or Ask Questions