most citedBenchmark Environments for Multitask Learning in Continuous Domains

17 citations · 27 across the 5 of their papers we have counts for

collaborators

6 papers

cs.RO20195 cited

Heterogeneous Robot Teams for Informative Sampling

Travis Manderson, Sandeep Manjanna, Gregory Dudek

In this paper we present a cooperative multi-robot strategy to adaptively explore and sample environments that are unfavorable for humans. We propose a methodology for a team of he…

cs.RO20192 cited

Reinforcement Learning with Non-uniform State Representations for Adaptive Search

Sandeep Manjanna, Herke van Hoof, Gregory Dudek

Efficient spatial exploration is a key aspect of search and rescue. In this paper, we present a search algorithm that generates efficient trajectories that optimize the rate at whi…

stat.AP20172 cited

Learning Seasonal Phytoplankton Communities with Topic Models

Arnold Kalmbach, Heidi M. Sosik, Gregory Dudek +1

In this work we develop and demonstrate a probabilistic generative model for phytoplankton communities. The proposed model takes counts of a set of phytoplankton taxa in a timeseri…

cs.RO2017

Underwater Multi-Robot Convoying using Visual Tracking by Detection

Florian Shkurti, Wei-Di Chang, Peter Henderson +7

We present a robust multi-robot convoying approach that relies on visual detection of the leading agent, thus enabling target following in unstructured 3-D environments. Our method…

cs.AI201717 cited

Benchmark Environments for Multitask Learning in Continuous Domains

Peter Henderson, Wei-Di Chang, Florian Shkurti +3

As demand drives systems to generalize to various domains and problems, the study of multitask, transfer and lifelong learning has become an increasingly important pursuit. In disc…

cs.RO20171 cited

Phytoplankton Hotspot Prediction With an Unsupervised Spatial Community Model

Arnold Kalmbach, Yogesh Girdhar, Heidi M. Sosik +1

Many interesting natural phenomena are sparsely distributed and discrete. Locating the hotspots of such sparsely distributed phenomena is often difficult because their density grad…