Winder, John

6 publications

NeurIPS 2024 Boosting Sample Efficiency and Generalization in Multi-Agent Reinforcement Learning via Equivariance Joshua McClellan, Naveed Haghani, John Winder, Furong Huang, Pratap Tokekar

NeurIPSW 2024 Uncovering Uncertainty in Transformer Inference Greyson Brothers, Willa M. Mannering, John Winder, Amber Tien

AAAI 2020 Planning with Abstract Learned Models While Learning Transferable Subtasks John Winder, Stephanie Milani, Matthew Landen, Erebus Oh, Shane Parr, Shawn Squire, Marie desJardins, Cynthia Matuszek

IJCAI 2019 The Expected-Length Model of Options David Abel, John Winder, Marie desJardins, Michael L. Littman

IJCAI 2016 A Framework for Anomaly Reasoning: Interpretation Through Concept Formation for Knowledge Transfer and Lifelong Learning John Winder

IJCAI 2015 Portable Option Discovery for Automated Learning Transfer in Object-Oriented Markov Decision Processes Nicholay Topin, Nicholas Haltmeyer, Shawn Squire, John Winder, Marie desJardins, James MacGlashan