Challenges and Opportunities in Deep Reinforcement Learning with Graph Neural Networks: A Comprehensive review of Algorithms and Applications

16 June 2022

Balasubramaniam Natarajan

Papers citing "Challenges and Opportunities in Deep Reinforcement Learning with Graph Neural Networks: A Comprehensive review of Algorithms and Applications"

46 / 46 papers shown

Title
A Graph-Based Reinforcement Learning Approach with Frontier Potential Based Reward for Safe Cluttered Environment Exploration Gabriele Calzolari Vidya Sumathy Christoforos Kanellakis G. Nikolakopoulos 376 0 0 16 Apr 2025
Geo-Semantic-Parsing: AI-powered geoparsing by traversing semantic knowledge graphs Leonardo Nizzoli Marco Avvenuti Maurizio Tesconi Stefano Cresci 53 33 0 03 Mar 2025
Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems Eduardo Sebastián T. Duong Nikolay Atanasov Eduardo Montijano C. Sagüés 104 3 0 30 Dec 2023
Proximal Policy Optimization with Graph Neural Networks for Optimal Power Flow Ángela López-Cardona Guillermo Bernárdez Pere Barlet-Ros A. Cabellos-Aparicio 142 4 0 23 Dec 2022
GraMeR: Graph Meta Reinforcement Learning for Multi-Objective Influence Maximization Sai Munikoti Balasubramaniam Natarajan M. Halappanavar 38 4 0 30 May 2022
Online Decision Transformer Qinqing Zheng Amy Zhang Aditya Grover OffRL 61 208 0 11 Feb 2022
Decoding the Protein-ligand Interactions Using Parallel Graph Neural Networks C. Knutson Mridula Bontha Jenna A. Bilbrey Neeraj Kumar 37 34 0 30 Nov 2021
Learning to schedule job-shop problems: Representation and policy learning using graph neural network and reinforcement learning Junyoung Park J. Chun Sang Hun Kim Youngkook Kim Jinkyoo Park GNN 28 212 0 02 Jun 2021
Bayesian Graph Neural Network for Fast identification of critical nodes in Uncertain Complex Networks Sai Munikoti Laya Das Balasubramaniam Natarajan 28 3 0 26 Dec 2020
Scalable Graph Neural Network-based framework for identifying critical nodes and links in Complex Networks Sai Munikoti Laya Das B. Natarajan GNN 30 46 0 26 Dec 2020
Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks E. Meirom Haggai Maron Shie Mannor Gal Chechik 31 47 0 11 Oct 2020
Explainability in Deep Reinforcement Learning Alexandre Heuillet Fabien Couthouis Natalia Díaz Rodríguez XAI 131 281 0 15 Aug 2020
Evaluating the Impact of Knowledge Graph Context on Entity Disambiguation Models I. Mulang' Kuldeep Singh Chaitali Prabhu Abhishek Nadgeri Johannes Hoffart Jens Lehmann 47 55 0 12 Aug 2020
One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control Wenlong Huang Igor Mordatch Deepak Pathak 92 177 0 09 Jul 2020
Learning What to Defer for Maximum Independent Sets SungSoo Ahn Younggyo Seo Jinwoo Shin 39 68 0 17 Jun 2020
Reinforcement Learning for Combinatorial Optimization: A Survey Nina Mazyavkina S. Sviridov Sergei Ivanov Evgeny Burnaev 78 620 0 07 Mar 2020
A Survey on Knowledge Graphs: Representation, Acquisition and Applications Shaoxiong Ji Shirui Pan Min Zhang Pekka Marttinen Philip S. Yu 288 1,980 0 02 Feb 2020
Perception and Navigation in Autonomous Systems in the Era of Learning: A Survey Yang Tang Chaoqiang Zhao Jianrui Wang Chongzhen Zhang Qiyu Sun Weixing Zheng W. Du Feng Qian Jürgen Kurths 77 70 0 08 Jan 2020
An Attention-based Graph Neural Network for Heterogeneous Structural Learning Huiting Hong Hantao Guo Yucheng Lin Xiaoqing Yang Zang Li Jieping Ye 44 218 0 19 Dec 2019
Multi-Agent Game Abstraction via Graph Attention Neural Network Y. Liu Weixun Wang Yujing Hu Jianye Hao Xingguo Chen Yang Gao 41 241 0 25 Nov 2019
Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case Paul Almasan J. Suárez-Varela Krzysztof Rusek Pere Barlet-Ros A. Cabellos-Aparicio GNN AI4CE 89 187 0 16 Oct 2019
Deep Coordination Graphs Wendelin Bohmer Vitaly Kurin Shimon Whiteson GNN 58 178 0 27 Sep 2019
Auto-GNN: Neural Architecture Search of Graph Neural Networks Kaixiong Zhou Qingquan Song Xiao Huang Xia Hu GNN 91 181 0 07 Sep 2019
Transferring Robustness for Graph Neural Network Against Poisoning Attacks Xianfeng Tang Yandong Li Yiwei Sun Huaxiu Yao P. Mitra Suhang Wang OOD AAML 52 182 0 20 Aug 2019
Green AI Roy Schwartz Jesse Dodge Noah A. Smith Oren Etzioni 100 1,134 0 22 Jul 2019
Position-aware Graph Neural Networks Jiaxuan You Rex Ying J. Leskovec 90 496 0 11 Jun 2019
A Survey of Reinforcement Learning Informed by Natural Language Jelena Luketina Nantas Nardelli Gregory Farquhar Jakob N. Foerster Jacob Andreas Edward Grefenstette Shimon Whiteson Tim Rocktaschel LM&Ro KELM OffRL LRM 67 281 0 10 Jun 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 511 8,496 0 03 Jan 2019
Graph Transformation Policy Network for Chemical Reaction Prediction Kien Do T. Tran Svetha Venkatesh 99 162 0 22 Dec 2018
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 804 5,493 0 20 Dec 2018
Model-Free Adaptive Optimal Control of Episodic Fixed-Horizon Manufacturing Processes using Reinforcement Learning Johannes Dornheim Norbert Link P. Gumbsch 23 47 0 18 Sep 2018
Deep Reinforcement Learning for Event-Triggered Control Dominik Baumann Jia Jie Zhu Georg Martius Sebastian Trimpe BDL 62 60 0 13 Sep 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 563 3,112 0 04 Jun 2018
Learning Attentional Communication for Multi-Agent Cooperation Jiechuan Jiang Zongqing Lu 57 485 0 20 May 2018
Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning Michael Everett Yu Fan Chen Jonathan P. How 231 513 0 04 May 2018
Convolutional Neural Network Architectures for Signals Supported on Graphs Fernando Gama A. Marques G. Leus Alejandro Ribeiro 169 286 0 01 May 2018
Learning Combinatorial Optimization Algorithms over Graphs H. Dai Elias Boutros Khalil Yuyu Zhang B. Dilkina Le Song 103 1,460 0 05 Apr 2017
Modeling Relational Data with Graph Convolutional Networks Michael Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling GNN 174 4,807 0 17 Mar 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 149 1,527 0 25 Jan 2017
Neural Combinatorial Optimization with Reinforcement Learning Irwan Bello Hieu H. Pham Quoc V. Le Mohammad Norouzi Samy Bengio 139 1,483 0 29 Nov 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 183 8,832 0 04 Feb 2016
Dueling Network Architectures for Deep Reinforcement Learning Ziyun Wang Tom Schaul Matteo Hessel H. V. Hasselt Marc Lanctot Nando de Freitas OffRL 88 3,749 0 20 Nov 2015
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 151 7,623 0 22 Sep 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 294 13,214 0 09 Sep 2015
Pointer Networks Oriol Vinyals Meire Fortunato Navdeep Jaitly 109 3,045 0 09 Jun 2015
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 114 12,201 0 19 Dec 2013