Matheus Mendonça

Senior Research Software Engineer

论文与出版物

查看方式：

- Efficient information diffusion in time-varying graphs through deep reinforcement learning
  
  Matheus R. F. Mendonça, André da Motta Salles Barreto, Artur Ziviani
  
  World Wide Web | June 2022
  
  Publication
- A Survey on Embedding Dynamic Graphs
  
  Claudio D. T. Barros, Matheus R. F. Mendonça, Alex B. Vieira, Artur Ziviani
  
  ACM Computing Surveys | November 2021, 第 55 卷(1)
  
  Publication
- Federated learning for predicting clinical outcomes in patients with COVID-19.
  
  Ittai Dayan, Holger R. Roth, Aoxiao Zhong, Ahmed Harouni, Amilcare Gentili, Anas Z. Abidin, Andrew Liu, Anthony Beardsworth Costa, Bradford J. Wood, Chien-Sung Tsai, Chih-Hung Wang, Chun-Nan Hsu, C. K. Lee, Peiying Ruan, Daguang Xu, Dufan Wu, Eddie Huang, Felipe Campos Kitamura, Griffin Lacey, Gustavo César de Antônio Corradi, Gustavo Nino, Hao-Hsin Shin, Hirofumi Obinata, Hui Ren, Jason C. Crane, Jesse Tetreault, Jiahui Guan, John W. Garrett, Joshua D. Kaggie, Jung Gil Park, Keith Dreyer, Krishna Juluru, Kristopher Kersten, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Marius George Linguraru, Masoom A. Haider, Meena AbdelMaseeh, Nicola Rieke, Pablo F. Damasceno, Pedro Mario Cruz e Silva, Pochuan Wang, Sheng Xu, Shuichi Kawano, Sira Sriswasdi, Soo Young Park, Thomas M. Grist, Varun Buch, Watsamon Jantarabenjakul, Weichung Wang, Won Young Tak, Xiang Li, Xihong Lin, Young Joon Kwon, Abood Quraini, Andrew Feng, Andrew N. Priest, Baris Turkbey, Benjamin Glicksberg, Bernardo Bizzo, Byung Seok Kim, Carlos Tor-Díez, Chia-Cheng Lee, Chia-Jung Hsu, Chin Lin, Chiu-Ling Lai, Christopher P. Hess, Colin Compas, Deepeksha Bhatia, Eric K. Oermann, Evan Leibovitz, Hisashi Sasaki, Hitoshi Mori, Isaac Yang, Jae Ho Sohn, Krishna Nand Keshava Murthy, Li-Chen Fu, Matheus R. F. Mendonça, Mike Fralick, Min Kyu Kang, Mohammad Adil, Natalie Gangai, Peerapon Vateekul, Pierre Elnajjar, Sarah Hickman, Sharmila Majumdar, Shelley L. McLeod, Sheridan Reed, Stefan Gräf, Stephanie Harmon, Tatsuya Kodama, Thanyawee Puthanakit, Tony Mazzulli, Vitor Lima de Lavor, Yothin Rakvongthai, Yu Rim Lee, Yuhong Wen, Fiona J. Gilbert, Mona G. Flores, Quanzheng Li
  
  Nature Medicine | September 2021, 第 27 卷(10): pp. 1735-1743
  
  DOI Publication Publication 项目
- Approximating Network Centrality Measures Using Node Embedding and Machine Learning
  
  Matheus R. F. Mendonça, André da Motta Salles Barreto, Artur Ziviani
  
  IEEE Transactions on Network Science and Engineering | December 2020, 第 8 卷(1): pp. 220-230
  
  DOI Publication
- Laplacian using Abstract State Transition Graphs: A Framework for Skill Acquisition
  
  Matheus R. F. Mendonça, Artur Ziviani, André da Motta Salles Barreto
  
  Brazilian Conference on Intelligent Systems | September 2019
  
  DOI Publication
- Graph-Based Skill Acquisition For Reinforcement Learning
  
  Matheus R. F. Mendonça, Artur Ziviani, André da Motta Salles Barreto
  
  ACM Computing Surveys | February 2019, 第 52 卷(1): pp. 6
  
  DOI Publication
- Abstract State Transition Graphs for Model-Based Reinforcement Learning
  
  Matheus R. F. Mendonça, Artur Ziviani, André da Motta Salles Barreto
  
  Brazilian Conference on Intelligent Systems | September 2018
  
  DOI Publication
- Network-Based Procedural Story Generation
  
  Matheus R. F. Mendonça, Artur Ziviani
  
  ACM Computers in Entertainment | September 2018, 第 16 卷(3): pp. 1-18
  
  DOI Publication
- Reinforcement learning with optimized reward function for stealth applications
  
  Matheus R. F. Mendonça, Heder S. Bernardino, Raul Fonseca Neto
  
  Entertainment Computing | February 2018, 第 25 卷: pp. 37-47
  
  DOI Publication
- Stealthy Path Planning Using Navigation Meshes
  
  Matheus R. F. Mendonça, Heder S. Bernardino, Raul Fonseca Neto
  
  Brazilian Conference on Intelligent Systems | November 2015
  
  DOI Publication
- Simulating Human Behavior in Fighting Games Using Reinforcement Learning and Artificial Neural Networks
  
  Matheus R. F. Mendonça, Heder S. Bernardino, Raul Fonseca Neto
  
  Brazilian Symposium on Computer Games and Digital Entertainment | October 2015
  
  DOI Publication

- Efficient information diffusion in time-varying graphs through deep reinforcement learning
  
  Matheus R. F. Mendonça, André da Motta Salles Barreto, Artur Ziviani
  
  World Wide Web | June 2022
  
  Publication
- A Survey on Embedding Dynamic Graphs
  
  Claudio D. T. Barros, Matheus R. F. Mendonça, Alex B. Vieira, Artur Ziviani
  
  ACM Computing Surveys | November 2021, 第 55 卷(1)
  
  Publication
- Federated learning for predicting clinical outcomes in patients with COVID-19.
  
  Ittai Dayan, Holger R. Roth, Aoxiao Zhong, Ahmed Harouni, Amilcare Gentili, Anas Z. Abidin, Andrew Liu, Anthony Beardsworth Costa, Bradford J. Wood, Chien-Sung Tsai, Chih-Hung Wang, Chun-Nan Hsu, C. K. Lee, Peiying Ruan, Daguang Xu, Dufan Wu, Eddie Huang, Felipe Campos Kitamura, Griffin Lacey, Gustavo César de Antônio Corradi, Gustavo Nino, Hao-Hsin Shin, Hirofumi Obinata, Hui Ren, Jason C. Crane, Jesse Tetreault, Jiahui Guan, John W. Garrett, Joshua D. Kaggie, Jung Gil Park, Keith Dreyer, Krishna Juluru, Kristopher Kersten, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Marius George Linguraru, Masoom A. Haider, Meena AbdelMaseeh, Nicola Rieke, Pablo F. Damasceno, Pedro Mario Cruz e Silva, Pochuan Wang, Sheng Xu, Shuichi Kawano, Sira Sriswasdi, Soo Young Park, Thomas M. Grist, Varun Buch, Watsamon Jantarabenjakul, Weichung Wang, Won Young Tak, Xiang Li, Xihong Lin, Young Joon Kwon, Abood Quraini, Andrew Feng, Andrew N. Priest, Baris Turkbey, Benjamin Glicksberg, Bernardo Bizzo, Byung Seok Kim, Carlos Tor-Díez, Chia-Cheng Lee, Chia-Jung Hsu, Chin Lin, Chiu-Ling Lai, Christopher P. Hess, Colin Compas, Deepeksha Bhatia, Eric K. Oermann, Evan Leibovitz, Hisashi Sasaki, Hitoshi Mori, Isaac Yang, Jae Ho Sohn, Krishna Nand Keshava Murthy, Li-Chen Fu, Matheus R. F. Mendonça, Mike Fralick, Min Kyu Kang, Mohammad Adil, Natalie Gangai, Peerapon Vateekul, Pierre Elnajjar, Sarah Hickman, Sharmila Majumdar, Shelley L. McLeod, Sheridan Reed, Stefan Gräf, Stephanie Harmon, Tatsuya Kodama, Thanyawee Puthanakit, Tony Mazzulli, Vitor Lima de Lavor, Yothin Rakvongthai, Yu Rim Lee, Yuhong Wen, Fiona J. Gilbert, Mona G. Flores, Quanzheng Li
  
  Nature Medicine | September 2021, 第 27 卷(10): pp. 1735-1743
  
  DOI Publication Publication 项目
- Approximating Network Centrality Measures Using Node Embedding and Machine Learning
  
  Matheus R. F. Mendonça, André da Motta Salles Barreto, Artur Ziviani
  
  IEEE Transactions on Network Science and Engineering | December 2020, 第 8 卷(1): pp. 220-230
  
  DOI Publication
- Laplacian using Abstract State Transition Graphs: A Framework for Skill Acquisition
  
  Matheus R. F. Mendonça, Artur Ziviani, André da Motta Salles Barreto
  
  Brazilian Conference on Intelligent Systems | September 2019
  
  DOI Publication
- Graph-Based Skill Acquisition For Reinforcement Learning
  
  Matheus R. F. Mendonça, Artur Ziviani, André da Motta Salles Barreto
  
  ACM Computing Surveys | February 2019, 第 52 卷(1): pp. 6
  
  DOI Publication
- Abstract State Transition Graphs for Model-Based Reinforcement Learning
  
  Matheus R. F. Mendonça, Artur Ziviani, André da Motta Salles Barreto
  
  Brazilian Conference on Intelligent Systems | September 2018
  
  DOI Publication
- Network-Based Procedural Story Generation
  
  Matheus R. F. Mendonça, Artur Ziviani
  
  ACM Computers in Entertainment | September 2018, 第 16 卷(3): pp. 1-18
  
  DOI Publication
- Reinforcement learning with optimized reward function for stealth applications
  
  Matheus R. F. Mendonça, Heder S. Bernardino, Raul Fonseca Neto
  
  Entertainment Computing | February 2018, 第 25 卷: pp. 37-47
  
  DOI Publication
- Stealthy Path Planning Using Navigation Meshes
  
  Matheus R. F. Mendonça, Heder S. Bernardino, Raul Fonseca Neto
  
  Brazilian Conference on Intelligent Systems | November 2015
  
  DOI Publication
- Simulating Human Behavior in Fighting Games Using Reinforcement Learning and Artificial Neural Networks
  
  Matheus R. F. Mendonça, Heder S. Bernardino, Raul Fonseca Neto
  
  Brazilian Symposium on Computer Games and Digital Entertainment | October 2015
  
  DOI Publication
- Efficient information diffusion in time-varying graphs through deep reinforcement learning
  
  Matheus R. F. Mendonça, André da Motta Salles Barreto, Artur Ziviani
  
  World Wide Web | June 2022
  
  Publication
- A Survey on Embedding Dynamic Graphs
  
  Claudio D. T. Barros, Matheus R. F. Mendonça, Alex B. Vieira, Artur Ziviani
  
  ACM Computing Surveys | November 2021, 第 55 卷(1)
  
  Publication
- Federated learning for predicting clinical outcomes in patients with COVID-19.
  
  Ittai Dayan, Holger R. Roth, Aoxiao Zhong, Ahmed Harouni, Amilcare Gentili, Anas Z. Abidin, Andrew Liu, Anthony Beardsworth Costa, Bradford J. Wood, Chien-Sung Tsai, Chih-Hung Wang, Chun-Nan Hsu, C. K. Lee, Peiying Ruan, Daguang Xu, Dufan Wu, Eddie Huang, Felipe Campos Kitamura, Griffin Lacey, Gustavo César de Antônio Corradi, Gustavo Nino, Hao-Hsin Shin, Hirofumi Obinata, Hui Ren, Jason C. Crane, Jesse Tetreault, Jiahui Guan, John W. Garrett, Joshua D. Kaggie, Jung Gil Park, Keith Dreyer, Krishna Juluru, Kristopher Kersten, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Marius George Linguraru, Masoom A. Haider, Meena AbdelMaseeh, Nicola Rieke, Pablo F. Damasceno, Pedro Mario Cruz e Silva, Pochuan Wang, Sheng Xu, Shuichi Kawano, Sira Sriswasdi, Soo Young Park, Thomas M. Grist, Varun Buch, Watsamon Jantarabenjakul, Weichung Wang, Won Young Tak, Xiang Li, Xihong Lin, Young Joon Kwon, Abood Quraini, Andrew Feng, Andrew N. Priest, Baris Turkbey, Benjamin Glicksberg, Bernardo Bizzo, Byung Seok Kim, Carlos Tor-Díez, Chia-Cheng Lee, Chia-Jung Hsu, Chin Lin, Chiu-Ling Lai, Christopher P. Hess, Colin Compas, Deepeksha Bhatia, Eric K. Oermann, Evan Leibovitz, Hisashi Sasaki, Hitoshi Mori, Isaac Yang, Jae Ho Sohn, Krishna Nand Keshava Murthy, Li-Chen Fu, Matheus R. F. Mendonça, Mike Fralick, Min Kyu Kang, Mohammad Adil, Natalie Gangai, Peerapon Vateekul, Pierre Elnajjar, Sarah Hickman, Sharmila Majumdar, Shelley L. McLeod, Sheridan Reed, Stefan Gräf, Stephanie Harmon, Tatsuya Kodama, Thanyawee Puthanakit, Tony Mazzulli, Vitor Lima de Lavor, Yothin Rakvongthai, Yu Rim Lee, Yuhong Wen, Fiona J. Gilbert, Mona G. Flores, Quanzheng Li
  
  Nature Medicine | September 2021, 第 27 卷(10): pp. 1735-1743
  
  DOI Publication Publication 项目
- Approximating Network Centrality Measures Using Node Embedding and Machine Learning
  
  Matheus R. F. Mendonça, André da Motta Salles Barreto, Artur Ziviani
  
  IEEE Transactions on Network Science and Engineering | December 2020, 第 8 卷(1): pp. 220-230
  
  DOI Publication
- Laplacian using Abstract State Transition Graphs: A Framework for Skill Acquisition
  
  Matheus R. F. Mendonça, Artur Ziviani, André da Motta Salles Barreto
  
  Brazilian Conference on Intelligent Systems | September 2019
  
  DOI Publication
- Graph-Based Skill Acquisition For Reinforcement Learning
  
  Matheus R. F. Mendonça, Artur Ziviani, André da Motta Salles Barreto
  
  ACM Computing Surveys | February 2019, 第 52 卷(1): pp. 6
  
  DOI Publication
- Abstract State Transition Graphs for Model-Based Reinforcement Learning
  
  Matheus R. F. Mendonça, Artur Ziviani, André da Motta Salles Barreto
  
  Brazilian Conference on Intelligent Systems | September 2018
  
  DOI Publication
- Reinforcement learning with optimized reward function for stealth applications
  
  Matheus R. F. Mendonça, Heder S. Bernardino, Raul Fonseca Neto
  
  Entertainment Computing | February 2018, 第 25 卷: pp. 37-47
  
  DOI Publication
- Simulating Human Behavior in Fighting Games Using Reinforcement Learning and Artificial Neural Networks
  
  Matheus R. F. Mendonça, Heder S. Bernardino, Raul Fonseca Neto
  
  Brazilian Symposium on Computer Games and Digital Entertainment | October 2015
  
  DOI Publication
- Efficient information diffusion in time-varying graphs through deep reinforcement learning
  
  Matheus R. F. Mendonça, André da Motta Salles Barreto, Artur Ziviani
  
  World Wide Web | June 2022
  
  Publication
- A Survey on Embedding Dynamic Graphs
  
  Claudio D. T. Barros, Matheus R. F. Mendonça, Alex B. Vieira, Artur Ziviani
  
  ACM Computing Surveys | November 2021, 第 55 卷(1)
  
  Publication
- Abstract State Transition Graphs for Model-Based Reinforcement Learning
  
  Matheus R. F. Mendonça, Artur Ziviani, André da Motta Salles Barreto
  
  Brazilian Conference on Intelligent Systems | September 2018
  
  DOI Publication
- Federated learning for predicting clinical outcomes in patients with COVID-19.
  
  Ittai Dayan, Holger R. Roth, Aoxiao Zhong, Ahmed Harouni, Amilcare Gentili, Anas Z. Abidin, Andrew Liu, Anthony Beardsworth Costa, Bradford J. Wood, Chien-Sung Tsai, Chih-Hung Wang, Chun-Nan Hsu, C. K. Lee, Peiying Ruan, Daguang Xu, Dufan Wu, Eddie Huang, Felipe Campos Kitamura, Griffin Lacey, Gustavo César de Antônio Corradi, Gustavo Nino, Hao-Hsin Shin, Hirofumi Obinata, Hui Ren, Jason C. Crane, Jesse Tetreault, Jiahui Guan, John W. Garrett, Joshua D. Kaggie, Jung Gil Park, Keith Dreyer, Krishna Juluru, Kristopher Kersten, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Marius George Linguraru, Masoom A. Haider, Meena AbdelMaseeh, Nicola Rieke, Pablo F. Damasceno, Pedro Mario Cruz e Silva, Pochuan Wang, Sheng Xu, Shuichi Kawano, Sira Sriswasdi, Soo Young Park, Thomas M. Grist, Varun Buch, Watsamon Jantarabenjakul, Weichung Wang, Won Young Tak, Xiang Li, Xihong Lin, Young Joon Kwon, Abood Quraini, Andrew Feng, Andrew N. Priest, Baris Turkbey, Benjamin Glicksberg, Bernardo Bizzo, Byung Seok Kim, Carlos Tor-Díez, Chia-Cheng Lee, Chia-Jung Hsu, Chin Lin, Chiu-Ling Lai, Christopher P. Hess, Colin Compas, Deepeksha Bhatia, Eric K. Oermann, Evan Leibovitz, Hisashi Sasaki, Hitoshi Mori, Isaac Yang, Jae Ho Sohn, Krishna Nand Keshava Murthy, Li-Chen Fu, Matheus R. F. Mendonça, Mike Fralick, Min Kyu Kang, Mohammad Adil, Natalie Gangai, Peerapon Vateekul, Pierre Elnajjar, Sarah Hickman, Sharmila Majumdar, Shelley L. McLeod, Sheridan Reed, Stefan Gräf, Stephanie Harmon, Tatsuya Kodama, Thanyawee Puthanakit, Tony Mazzulli, Vitor Lima de Lavor, Yothin Rakvongthai, Yu Rim Lee, Yuhong Wen, Fiona J. Gilbert, Mona G. Flores, Quanzheng Li
  
  Nature Medicine | September 2021, 第 27 卷(10): pp. 1735-1743
  
  DOI Publication Publication 项目

- Laplacian using Abstract State Transition Graphs: A Framework for Skill Acquisition
  
  Matheus R. F. Mendonça, Artur Ziviani, André da Motta Salles Barreto
  
  Brazilian Conference on Intelligent Systems | September 2019
  
  DOI Publication
- Abstract State Transition Graphs for Model-Based Reinforcement Learning
  
  Matheus R. F. Mendonça, Artur Ziviani, André da Motta Salles Barreto
  
  Brazilian Conference on Intelligent Systems | September 2018
  
  DOI Publication
- Stealthy Path Planning Using Navigation Meshes
  
  Matheus R. F. Mendonça, Heder S. Bernardino, Raul Fonseca Neto
  
  Brazilian Conference on Intelligent Systems | November 2015
  
  DOI Publication
- Simulating Human Behavior in Fighting Games Using Reinforcement Learning and Artificial Neural Networks
  
  Matheus R. F. Mendonça, Heder S. Bernardino, Raul Fonseca Neto
  
  Brazilian Symposium on Computer Games and Digital Entertainment | October 2015
  
  DOI Publication
- Efficient information diffusion in time-varying graphs through deep reinforcement learning
  
  Matheus R. F. Mendonça, André da Motta Salles Barreto, Artur Ziviani
  
  World Wide Web | June 2022
  
  Publication
- A Survey on Embedding Dynamic Graphs
  
  Claudio D. T. Barros, Matheus R. F. Mendonça, Alex B. Vieira, Artur Ziviani
  
  ACM Computing Surveys | November 2021, 第 55 卷(1)
  
  Publication
- Federated learning for predicting clinical outcomes in patients with COVID-19.
  
  Ittai Dayan, Holger R. Roth, Aoxiao Zhong, Ahmed Harouni, Amilcare Gentili, Anas Z. Abidin, Andrew Liu, Anthony Beardsworth Costa, Bradford J. Wood, Chien-Sung Tsai, Chih-Hung Wang, Chun-Nan Hsu, C. K. Lee, Peiying Ruan, Daguang Xu, Dufan Wu, Eddie Huang, Felipe Campos Kitamura, Griffin Lacey, Gustavo César de Antônio Corradi, Gustavo Nino, Hao-Hsin Shin, Hirofumi Obinata, Hui Ren, Jason C. Crane, Jesse Tetreault, Jiahui Guan, John W. Garrett, Joshua D. Kaggie, Jung Gil Park, Keith Dreyer, Krishna Juluru, Kristopher Kersten, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Marius George Linguraru, Masoom A. Haider, Meena AbdelMaseeh, Nicola Rieke, Pablo F. Damasceno, Pedro Mario Cruz e Silva, Pochuan Wang, Sheng Xu, Shuichi Kawano, Sira Sriswasdi, Soo Young Park, Thomas M. Grist, Varun Buch, Watsamon Jantarabenjakul, Weichung Wang, Won Young Tak, Xiang Li, Xihong Lin, Young Joon Kwon, Abood Quraini, Andrew Feng, Andrew N. Priest, Baris Turkbey, Benjamin Glicksberg, Bernardo Bizzo, Byung Seok Kim, Carlos Tor-Díez, Chia-Cheng Lee, Chia-Jung Hsu, Chin Lin, Chiu-Ling Lai, Christopher P. Hess, Colin Compas, Deepeksha Bhatia, Eric K. Oermann, Evan Leibovitz, Hisashi Sasaki, Hitoshi Mori, Isaac Yang, Jae Ho Sohn, Krishna Nand Keshava Murthy, Li-Chen Fu, Matheus R. F. Mendonça, Mike Fralick, Min Kyu Kang, Mohammad Adil, Natalie Gangai, Peerapon Vateekul, Pierre Elnajjar, Sarah Hickman, Sharmila Majumdar, Shelley L. McLeod, Sheridan Reed, Stefan Gräf, Stephanie Harmon, Tatsuya Kodama, Thanyawee Puthanakit, Tony Mazzulli, Vitor Lima de Lavor, Yothin Rakvongthai, Yu Rim Lee, Yuhong Wen, Fiona J. Gilbert, Mona G. Flores, Quanzheng Li
  
  Nature Medicine | September 2021, 第 27 卷(10): pp. 1735-1743
  
  DOI Publication Publication 项目
- Approximating Network Centrality Measures Using Node Embedding and Machine Learning
  
  Matheus R. F. Mendonça, André da Motta Salles Barreto, Artur Ziviani
  
  IEEE Transactions on Network Science and Engineering | December 2020, 第 8 卷(1): pp. 220-230
  
  DOI Publication
- Graph-Based Skill Acquisition For Reinforcement Learning
  
  Matheus R. F. Mendonça, Artur Ziviani, André da Motta Salles Barreto
  
  ACM Computing Surveys | February 2019, 第 52 卷(1): pp. 6
  
  DOI Publication
- Network-Based Procedural Story Generation
  
  Matheus R. F. Mendonça, Artur Ziviani
  
  ACM Computers in Entertainment | September 2018, 第 16 卷(3): pp. 1-18
  
  DOI Publication
- Reinforcement learning with optimized reward function for stealth applications
  
  Matheus R. F. Mendonça, Heder S. Bernardino, Raul Fonseca Neto
  
  Entertainment Computing | February 2018, 第 25 卷: pp. 37-47
  
  DOI Publication

Matheus Mendonça

论文与出版物

Efficient information diffusion in time-varying graphs through deep reinforcement learning

A Survey on Embedding Dynamic Graphs

Federated learning for predicting clinical outcomes in patients with COVID-19.

Approximating Network Centrality Measures Using Node Embedding and Machine Learning

Laplacian using Abstract State Transition Graphs: A Framework for Skill Acquisition

Graph-Based Skill Acquisition For Reinforcement Learning

Abstract State Transition Graphs for Model-Based Reinforcement Learning

Network-Based Procedural Story Generation

Reinforcement learning with optimized reward function for stealth applications

Stealthy Path Planning Using Navigation Meshes

Simulating Human Behavior in Fighting Games Using Reinforcement Learning and Artificial Neural Networks

Efficient information diffusion in time-varying graphs through deep reinforcement learning

A Survey on Embedding Dynamic Graphs

Federated learning for predicting clinical outcomes in patients with COVID-19.

Approximating Network Centrality Measures Using Node Embedding and Machine Learning

Laplacian using Abstract State Transition Graphs: A Framework for Skill Acquisition

Graph-Based Skill Acquisition For Reinforcement Learning

Abstract State Transition Graphs for Model-Based Reinforcement Learning

Network-Based Procedural Story Generation

Reinforcement learning with optimized reward function for stealth applications

Stealthy Path Planning Using Navigation Meshes

Simulating Human Behavior in Fighting Games Using Reinforcement Learning and Artificial Neural Networks

Efficient information diffusion in time-varying graphs through deep reinforcement learning

A Survey on Embedding Dynamic Graphs

Federated learning for predicting clinical outcomes in patients with COVID-19.

Approximating Network Centrality Measures Using Node Embedding and Machine Learning

Laplacian using Abstract State Transition Graphs: A Framework for Skill Acquisition

Graph-Based Skill Acquisition For Reinforcement Learning

Abstract State Transition Graphs for Model-Based Reinforcement Learning

Reinforcement learning with optimized reward function for stealth applications

Simulating Human Behavior in Fighting Games Using Reinforcement Learning and Artificial Neural Networks

Efficient information diffusion in time-varying graphs through deep reinforcement learning

A Survey on Embedding Dynamic Graphs

Abstract State Transition Graphs for Model-Based Reinforcement Learning

Federated learning for predicting clinical outcomes in patients with COVID-19.

Laplacian using Abstract State Transition Graphs: A Framework for Skill Acquisition

Abstract State Transition Graphs for Model-Based Reinforcement Learning

Stealthy Path Planning Using Navigation Meshes

Simulating Human Behavior in Fighting Games Using Reinforcement Learning and Artificial Neural Networks

Efficient information diffusion in time-varying graphs through deep reinforcement learning

A Survey on Embedding Dynamic Graphs

Federated learning for predicting clinical outcomes in patients with COVID-19.

Approximating Network Centrality Measures Using Node Embedding and Machine Learning

Graph-Based Skill Acquisition For Reinforcement Learning

Network-Based Procedural Story Generation

Reinforcement learning with optimized reward function for stealth applications