Matthew E. Taylor

16 papers at tracked venues · 6 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0001-8946-0211 ↗Homepage ↗

Venues

AAMAS ×8 AAAI ×4 ICLR ×1 ICML ×1 IJCAI ×1 IROS ×1

Frequent coauthors

Tianpei Yang

×6

Srijita Das

×3

Calarina Muslimani

×3

Jianye Hao

×3

Yan Zheng

×3

Christabel Wayllace

×2

Bram Grooten

×2

Mykola Pechenizkiy

×2

Decebal Constantin Mocanu

×2

Alireza Kazemipour

×2

Michael Bowling

×2

Sven Koenig

×1

Papers

Fortieth AAAI Conference on Artificial Intelligence, Thirty-Eighth Conference on Innovative Applications of Artificial Intelligence, Sixteenth Symposium on Educational Advances in Artificial Intelligence, AAAI 2026, Singapore, January 20-27, 2026
AAAI 2026 ·
Sven Koenig
,
Chad Jenkins
, Matthew E. Taylor
An LLM-Guided Tutoring System for Social Skills Training
AAAI 2025 ·
Michael Guevarra
,
Indronil Bhattacharjee
,
Srijita Das
,
Christabel Wayllace
,
Carrie Demmans Epp
, Matthew E. Taylor,
Alan Tay
Boosting Robustness in Preference-Based Reinforcement Learning with Dynamic Sparsity
AAMAS 2025 ·
Calarina Muslimani
,
Bram Grooten
,
Deepak Ranganatha Sastry Mamillapalli
,
Mykola Pechenizkiy
,
Decebal Constantin Mocanu
, Matthew E. Taylor
Empowering Generalization for Deep Reinforcement Learning via Symbolic Planning
AAMAS 2025 ·
Tianpei Yang
,
Srijita Das
,
Christabel Wayllace
, Matthew E. Taylor
Leveraging Sub-Optimal Data for Human-in-the-Loop Reinforcement Learning
ICLR 2025 ·
Calarina Muslimani
, Matthew E. Taylor
Model-Based Exploration in Monitored Markov Decision Processes
ICML 2025 ·
Alireza Kazemipour
, Matthew E. Taylor,
Michael Bowling
Taming Multi-Agent Reinforcement Learning with Estimator Variance Reduction
AAMAS 2025 ·
Taher Jafferjee
,
Juliusz Ziomek
,
Tianpei Yang
,
Zipeng Dai
,
Jianhong Wang
, Matthew E. Taylor,
Kun Shao
,
Jun Wang
,
David Mguni
The Evolving Landscape of LLM- and VLM-Integrated Reinforcement Learning
IJCAI 2025 ·
Sheila Schoepp
,
Masoud Jafaripour
,
Yingyue Cao
,
Tianpei Yang
,
Fatemeh Abdollahi
,
Shadan Golestan
,
Zahin Sufiyan
,
Osmar R. Zaïane
, Matthew E. Taylor
A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning
AAAI 2024 ·
Tianpei Yang
,
Heng You
,
Jianye Hao
,
Yan Zheng
, Matthew E. Taylor
GLIDE-RL: Grounded Language Instruction through DEmonstration in RL
AAMAS 2024 ·
Chaitanya Kharyal
,
Sai Krishna Gottipati
,
Tanmay Kumar Sinha
,
Srijita Das
, Matthew E. Taylor
Leveraging Sub-Optimal Data for Human-in-the-Loop Reinforcement Learning
AAMAS 2024 ·
Calarina Muslimani
, Matthew E. Taylor
Local Linearity is All You Need (in Data-Driven Teleoperation)
IROS 2024 ·
Michael Przystupa
,
Gauthier Gidel
, Matthew E. Taylor,
Martin Jägersand
,
Justus H. Piater
,
Samuele Tosatto
MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning
AAMAS 2024 ·
Bram Grooten
,
Tristan Tomilin
,
Gautham Vasan
, Matthew E. Taylor,
A. Rupam Mahmood
,
Meng Fang
,
Mykola Pechenizkiy
,
Decebal Constantin Mocanu
Monitored Markov Decision Processes
AAMAS 2024 ·
Simone Parisi
,
Montaser Mohammedalamen
,
Alireza Kazemipour
, Matthew E. Taylor,
Michael Bowling
PADDLE: Logic Program Guided Policy Reuse in Deep Reinforcement Learning
AAMAS 2024 ·
Hao Zhang
,
Tianpei Yang
,
Yan Zheng
,
Jianye Hao
, Matthew E. Taylor
PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning
AAAI 2024 ·
Jizhou Wu
,
Jianye Hao
,
Tianpei Yang
,
Xiaotian Hao
,
Yan Zheng
,
Weixun Wang
, Matthew E. Taylor