Search Results for author: John Winder

Found 3 papers, 0 papers with code

Adaptive Neural Networks Using Residual Fitting

no code implementations13 Jan 2023 Noah Ford, John Winder, Josh McClellan

In contrast, methods that add capacity to neural networks as needed may provide similar results to architecture search and pruning, but do not require as much computation to find an appropriate network size.

Imitation Learning Neural Architecture Search

Presentation and Analysis of a Multimodal Dataset for Grounded Language Learning

no code implementations29 Jul 2020 Patrick Jenkins, Rishabh Sachdeva, Gaoussou Youssouf Kebe, Padraig Higgins, Kasra Darvish, Edward Raff, Don Engel, John Winder, Francis Ferraro, Cynthia Matuszek

Grounded language acquisition -- learning how language-based interactions refer to the world around them -- is amajor area of research in robotics, NLP, and HCI.

Grounded language learning

Planning with Abstract Learned Models While Learning Transferable Subtasks

no code implementations16 Dec 2019 John Winder, Stephanie Milani, Matthew Landen, Erebus Oh, Shane Parr, Shawn Squire, Marie desJardins, Cynthia Matuszek

We introduce an algorithm for model-based hierarchical reinforcement learning to acquire self-contained transition and reward models suitable for probabilistic planning at multiple levels of abstraction.

Hierarchical Reinforcement Learning reinforcement-learning +1

Cannot find the paper you are looking for? You can Submit a new open access paper.