Scott Niekum

Asking for Help Effectively via Modeling of Human Beliefs

2018

Autonomous robots deployed around humans must be able to ask for help when problems arise. However, people may have incorrect mental models of the robots» capabilities or task, making them unable to help. We propose …

Local Nonparametric Meta-Learning

2020 · arXiv (Cornell University)

A central goal of meta-learning is to find a learning rule that enables fast adaptation across a set of tasks, by learning the appropriate inductive bias for that set. Most meta-learning algorithms try to find …

PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards

2020 · arXiv (Cornell University)

Reinforcement learning (RL), particularly in sparse reward settings, often requires prohibitively large numbers of interactions with the environment, thereby limiting its applicability to complex problems. To address this, several prior approaches have used natural language …