← Authors

Matthew E. Taylor

25 papers · 2007–2025 · 5 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (18) 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (8) 🌍 Conference Polyglot (5) πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ—ƒοΈ Keyword Collector (89) πŸ“ˆ Trend Setter πŸ’Ž Century Club (25) πŸ”₯ Unstoppable (11) ❓ The Questioner

Conferences

IJCAI (11) AAAI (7) ICML (3) JMLR (3) ICLR (1)

Top co-authors

Tianpei Yang (4) Felipe Leno Da Silva (3) Peter Stone (3) YAN ZHENG (3) Jianye Hao (3) Fatemeh Abdollahi (2) Bei Peng (2) Sriram Ganapathi Subramanian (2) Zhaodong Wang (2) Pablo Hernandez-Leal (2)

Keywords

reinforcement learning (9) multi-agent reinforcement learning (5) transfer learning (5) policy learning (3) uncertainty quantification (3) uncertainty estimation (3) deep reinforcement learning (3) imitation learning (2) curriculum learning (2) interactive learning (2) large language model (2) action advising (2) reward shaping (2) human feedback (2) policy transfer (2) policy advice (2) epistemic uncertainty (1) multi-task learning (1) temporal difference learning (1) progressive learning (1)

Papers

Model-Based Exploration in Monitored Markov Decision Processes ICML 2025
An LLM-Guided Tutoring System for Social Skills Training AAAI 2025
The Evolving Landscape of LLM- and VLM-Integrated Reinforcement Learning IJCAI 2025
Leveraging Sub-Optimal Data for Human-in-the-Loop Reinforcement Learning ICLR 2025
A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning AAAI 2024
PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning AAAI 2024
Multi-Agent Advisor Q-Learning (Extended Abstract) IJCAI 2023
Can You Improve My Code? Optimizing Programs with Local Search IJCAI 2023
Decentralized Mean Field Games AAAI 2022
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration ICML 2022
Towered Actor Critic For Handling Multiple Action Types In Reinforcement Learning For Drug Discovery AAAI 2021
Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents AAAI 2020
Providing Uncertainty-Based Advice for Deep Reinforcement Learning Agents (Student Abstract) AAAI 2020
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey JMLR 2020
Metatrace Actor-Critic: Online Step-Size Tuning by Meta-gradient Descent for Reinforcement Learning Control IJCAI 2019
Interactive Reinforcement Learning with Dynamic Reuse of Prior Knowledge from Human and Agent Demonstrations IJCAI 2019
Autonomously Reusing Knowledge in Multiagent Reinforcement Learning IJCAI 2018
Improving Reinforcement Learning with Human Input IJCAI 2018
Leveraging Human Knowledge in Tabular Reinforcement Learning: A Study of Human Subjects IJCAI 2017
Interactive Learning from Policy-Dependent Human Feedback ICML 2017
Improving Reinforcement Learning with Confidence-Based Demonstrations IJCAI 2017
Theoretically-Grounded Policy Advice from Multiple Teachers in Reinforcement Learning Settings with Applications to Negative Transfer IJCAI 2016
Reinforcement Learning from Demonstration through Shaping IJCAI 2015
Transfer Learning for Reinforcement Learning Domains: A Survey JMLR 2009
Transfer Learning via Inter-Task Mappings for Temporal Difference Learning JMLR 2007