Ranked Reward: Enabling Self-Play Reinforcement Learning for
Combinatorial Optimization

Ranked Reward: Enabling Self-Play Reinforcement Learning for Combinatorial Optimization

4 July 2018

Alexandre Laterre

Mohamed Khalil Jabri

Papers citing "Ranked Reward: Enabling Self-Play Reinforcement Learning for Combinatorial Optimization"

18 / 18 papers shown

Title
Model-based reinforcement learning for protein backbone design Frederic Renard Cyprien Courtot Alfredo Reichlin Oliver Bent 54 0 0 03 May 2024
Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi AI4CE 53 6 0 09 Apr 2024
Machine Learning for the Multi-Dimensional Bin Packing Problem: Literature Review and Empirical Evaluation Wenjie Wu Changjun Fan Jin-Yu Huang Zhong Liu Junchi Yan 41 0 0 13 Dec 2023
Policy-Based Self-Competition for Planning Problems Jonathan Pirnay Q. Göttl Jakob Burger D. G. Grimm 49 3 0 07 Jun 2023
Beyond Games: A Systematic Review of Neural Monte Carlo Tree Search Applications Marco Kemmerling Daniel Lutticke Robert H. Schmitt 37 14 0 14 Mar 2023
Parameter Optimization of LLC-Converter with multiple operation points using Reinforcement Learning Georg Kruse D. Happel Stefan Ditze Stefan Ehrlich A. Rosskopf 8 1 0 28 Feb 2023
Alphazzle: Jigsaw Puzzle Solver with Deep Monte-Carlo Tree Search Marie-Morgane Paumard Hedi Tabia David Picard 21 2 0 01 Feb 2023
MuZero with Self-competition for Rate Control in VP9 Video Compression Amol Mandhane A. Zhernov Maribeth Rauh Chenjie Gu Miaosen Wang ... Jackson Broshear Julian Schrittwieser Thomas Hubert Oriol Vinyals Timothy A. Mann 37 44 0 14 Feb 2022
Learning Practically Feasible Policies for Online 3D Bin Packing Hang Zhao Chenyang Zhu Xin Xu Hui Huang Kai Xu OffRL 32 80 0 31 Aug 2021
Attend2Pack: Bin Packing through Deep Reinforcement Learning with Attention Jingwei Zhang Bin Zi Xiaoyu Ge OffRL 24 20 0 09 Jul 2021
Planning Spatial Networks with Monte Carlo Tree Search Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi 40 7 0 12 Jun 2021
Qubit Routing using Graph Neural Network aided Monte Carlo Tree Search Animesh Sinha Utkarsh Azad Harjinder Singh 47 27 0 01 Apr 2021
Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey Aske Plaat W. Kosters Mike Preuss BDL OffRL 26 17 0 11 Aug 2020
Online 3D Bin Packing with Constrained Deep Reinforcement Learning Hang Zhao Qijin She Chenyang Zhu Yifan Yang Kai Xu OffRL 27 120 0 26 Jun 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 32 82 0 06 Jun 2020
Reinforcement Learning for Combinatorial Optimization: A Survey Nina Mazyavkina S. Sviridov Sergei Ivanov Evgeny Burnaev 49 608 0 07 Mar 2020
Self-Play Learning Without a Reward Metric Dan Schmidt N. Moran Jonathan S. Rosenfeld Jonathan Rosenthal J. Yedidia 37 4 0 16 Dec 2019
Learning Compositional Neural Programs with Recursive Tree Search and Planning Thomas Pierrot Guillaume Ligner Scott E. Reed Olivier Sigaud Nicolas Perrin Alexandre Laterre David Kas Karim Beguir Nando de Freitas 49 41 0 30 May 2019