Co-training for Policy Learning

Co-training for Policy Learning

3 July 2019

Papers citing "Co-training for Policy Learning"

10 / 10 papers shown

Title
Minimize Control Inputs for Strong Structural Controllability Using Reinforcement Learning with Graph Neural Network Mengbang Zou Weisi Guo Bailu Jin 34 0 0 26 Feb 2024
Master-slave Deep Architecture for Top-K Multi-armed Bandits with Non-linear Bandit Feedback and Diversity Constraints Han Huang Li Shen Deheng Ye Wei Liu 17 0 0 24 Aug 2023
A Survey for Solving Mixed Integer Programming via Machine Learning Jiayi Zhang Chang-rui Liu Junchi Yan Xijun Li Hui-Ling Zhen M. Yuan AI4CE 37 72 0 06 Mar 2022
Vulcan: Solving the Steiner Tree Problem with Graph Neural Networks and Deep Reinforcement Learning Haizhou Du Zong Yan Qiao Xiang Qinqing Zhan GNN 30 6 0 21 Nov 2021
Zero Training Overhead Portfolios for Learning to Solve Combinatorial Problems Yiwei Bai Wenting Zhao Carla P. Gomes 8 0 0 05 Feb 2021
Robust Asymmetric Learning in POMDPs Andrew Warrington J. Lavington Adam Scibior Mark W. Schmidt Frank Wood 11 28 0 31 Dec 2020
Policy Learning Using Weak Supervision Jingkang Wang Hongyi Guo Zhaowei Zhu Yang Liu OffRL 19 14 0 05 Oct 2020
Learning to Solve Combinatorial Optimization Problems on Real-World Graphs in Linear Time Iddo Drori Anant Kharkar William R. Sickinger Brandon Kates Qiang Ma Suwen Ge Eden Dolev Brenda L Dietrich David P. Williamson Madeleine Udell 16 82 0 06 Jun 2020
A General Large Neighborhood Search Framework for Solving Integer Linear Programs Jialin Song Ravi Lanka Yisong Yue B. Dilkina 40 20 0 29 Mar 2020
Reinforcement Learning for Combinatorial Optimization: A Survey Nina Mazyavkina S. Sviridov Sergei Ivanov Evgeny Burnaev 38 601 0 07 Mar 2020