Structured Reinforcement Learning for Combinatorial Decision-Making

25 May 2025

Papers citing "Structured Reinforcement Learning for Combinatorial Decision-Making"

25 / 25 papers shown

Title
Primal-dual algorithm for contextual stochastic combinatorial optimization Louis Bouvier Thibault Prunet Vincent Leclère Axel Parmentier 55 1 0 07 May 2025
Global Rewards in Multi-Agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems Heiko Hoppe Tobias Enders Quentin Cappart Maximilian Schiffer 64 3 0 14 Dec 2023
A Survey of Contextual Optimization Methods for Decision Making under Uncertainty Utsav Sadana A. Chenreddy Erick Delage Alexandre Forel Emma Frejinger Thibaut Vidal AI4CE 85 88 0 17 Jun 2023
Combinatorial Optimization enriched Machine Learning to solve the Dynamic Vehicle Routing Problem with Time Windows Léo Baty Kai Jungel P. Klein Axel Parmentier Maximilian Schiffer 40 30 0 03 Apr 2023
Learning-based Online Optimization for Autonomous Mobility-on-Demand Fleet Control Kai Jungel Axel Parmentier Maximilian Schiffer Thibaut Vidal 41 12 0 08 Feb 2023
Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems Tobias Enders James Harrison Marco Pavone Maximilian Schiffer 48 24 0 14 Dec 2022
Learning with Combinatorial Optimization Layers: a Probabilistic Approach Guillaume Dalle Léo Baty Louis Bouvier Axel Parmentier AI4CE 37 35 0 27 Jul 2022
A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems Rafael Figueiredo Prudencio Marcos R. O. A. Máximo Esther Luna Colombini OffRL 64 228 0 02 Mar 2022
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning Tianren Zhang Shangqi Guo Tian Tan Xiaolin Hu Feng Chen 40 85 0 20 Jun 2020
Learning with Differentiable Perturbed Optimizers Quentin Berthet Mathieu Blondel O. Teboul Marco Cuturi Jean-Philippe Vert Francis R. Bach 56 108 0 20 Feb 2020
Monte Carlo Gradient Estimation in Machine Learning S. Mohamed Mihaela Rosca Michael Figurnov A. Mnih 63 404 0 25 Jun 2019
Learning Action Representations for Reinforcement Learning Yash Chandak Georgios Theocharous James E. Kostas Scott M. Jordan Philip S. Thomas 48 162 0 01 Feb 2019
Learning with Fenchel-Young Losses Mathieu Blondel André F. T. Martins Vlad Niculae 93 131 0 08 Jan 2019
Dynamic Assortment Optimization with Changing Contextual Information Xi Chen Yining Wang Yuanshuo Zhou 26 50 0 31 Oct 2018
Attention, Learn to Solve Routing Problems! W. Kool H. V. Hoof Max Welling 83 1,193 0 22 Mar 2018
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 153 5,121 0 26 Feb 2018
Reinforcement Learning for Solving the Vehicle Routing Problem M. Nazari Afshin Oroojlooy L. Snyder Martin Takáč 66 894 0 12 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 225 8,236 0 04 Jan 2018
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 236 18,685 0 20 Jul 2017
Learning Combinatorial Optimization Algorithms over Graphs H. Dai Elias Boutros Khalil Yuyu Zhang B. Dilkina Le Song 90 1,453 0 05 Apr 2017
OptNet: Differentiable Optimization as a Layer in Neural Networks Brandon Amos J. Zico Kolter 137 952 0 01 Mar 2017
Neural Combinatorial Optimization with Reinforcement Learning Irwan Bello Hieu H. Pham Quoc V. Le Mohammad Norouzi Samy Bengio 123 1,472 0 29 Nov 2016
The Option-Critic Architecture Pierre-Luc Bacon J. Harb Doina Precup OffRL 50 1,076 0 16 Sep 2016
Deep Reinforcement Learning in Large Discrete Action Spaces Gabriel Dulac-Arnold Richard Evans H. V. Hasselt P. Sunehag Timothy Lillicrap Jonathan J. Hunt Timothy A. Mann T. Weber T. Degris Ben Coppin OffRL 52 573 0 24 Dec 2015
From Predictive to Prescriptive Analytics Dimitris Bertsimas Nathan Kallus 82 538 0 22 Feb 2014