Proceedings

Matthew E. Taylor

9 papers in the IJCAI proceedings

IJCAI 2025

The Evolving Landscape of LLM- and VLM-Integrated Reinforcement Learning
with Sheila Schoepp, Masoud Jafaripour, Yingyue Cao, Tianpei Yang, Fatemeh Abdollahi, Shadan Golestan, Zahin Sufiyan, Osmar R. Zaiane
doi:10.24963/ijcai.2025/1181
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IJCAI 2023

Can You Improve My Code? Optimizing Programs with Local Search
with Fatemeh Abdollahi, Saqib Ameen, Levi H. S. Lelis
doi:10.24963/ijcai.2023/328
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Multi-Agent Advisor Q-Learning (Extended Abstract)
with Sriram Ganapathi Subramanian, Kate Larson, Mark Crowley
doi:10.24963/ijcai.2023/776
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IJCAI 2019

Interactive Reinforcement Learning with Dynamic Reuse of Prior Knowledge from Human and Agent Demonstrations
with Zhaodong Wang
doi:10.24963/ijcai.2019/530
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Metatrace Actor-Critic: Online Step-Size Tuning by Meta-gradient Descent for Reinforcement Learning Control
with Kenny Young, Baoxiang Wang
doi:10.24963/ijcai.2019/581
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IJCAI 2018

Autonomously Reusing Knowledge in Multiagent Reinforcement Learning
with Felipe Leno Da Silva, Anna Helena Reali Costa
doi:10.24963/ijcai.2018/774
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Improving Reinforcement Learning with Human Input
doi:10.24963/ijcai.2018/817
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IJCAI 2017

Improving Reinforcement Learning with Confidence-Based Demonstrations
with Zhaodong Wang
doi:10.24963/ijcai.2017/422
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Leveraging Human Knowledge in Tabular Reinforcement Learning: A Study of Human Subjects
with Ariel Rosenfeld, Sarit Kraus
doi:10.24963/ijcai.2017/534
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