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20112022
most citedArtificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence

153 citations · 385 across the 25 of their papers we have counts for

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Showing 2021Show all

13 papers · 1 filter

cs.RO202134 cited

APPLE: Adaptive Planner Parameter Learning from Evaluative Feedback

Zizhao Wang, Xuesu Xiao, Garrett Warnell +1

Classical autonomous navigation systems can control robots in a collision-free manner, oftentimes with verifiable safety and explainability. When facing new environments, however,…

cs.RO20211 cited

From Agile Ground to Aerial Navigation: Learning from Learned Hallucination

Zizhao Wang, Xuesu Xiao, Alexander J Nettekoven +5

This paper presents a self-supervised Learning from Learned Hallucination (LfLH) method to learn fast and reactive motion planners for ground and aerial robots to navigate through…

cs.AI202114 cited

Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks

Ruohan Zhang, Faraz Torabi, Garrett Warnell +1

A longstanding goal of artificial intelligence is to create artificial agents capable of learning to perform tasks that require sequential decision making. Importantly, while it is…

cs.RO20212 cited

Incorporating Gaze into Social Navigation

Justin Hart, Reuth Mirsky, Xuesu Xiao +1

Most current approaches to social navigation focus on the trajectory and position of participants in the interaction. Our current work on the topic focuses on integrating gaze into…

cs.RO2021

Team Orienteering Coverage Planning with Uncertain Reward

Bo Liu, Xuesu Xiao, Peter Stone

Many municipalities and large organizations have fleets of vehicles that need to be coordinated for tasks such as garbage collection or infrastructure inspection. Motivated by this…

cs.LG2021

Adversarial Intrinsic Motivation for Reinforcement Learning

Ishan Durugkar, Mauricio Tec, Scott Niekum +1

Learning with an objective to minimize the mismatch with a reference distribution has been shown to be useful for generative modeling and imitation learning. In this paper, we inve…