activity
20172021
most citedBenchmark Environments for Multitask Learning in Continuous Domains

17 citations · 17 across the 3 of their papers we have counts for

collaborators

5 papers

cs.RO2021

An Autonomous Probing System for Collecting Measurements at Depth from Small Surface Vehicles

Yuying Huang, Yiming Yao, Johanna Hansen +4

This paper presents the portable autonomous probing system (APS), a low-cost robotic design for collecting water quality measurements at targeted depths from an autonomous surface…

cs.RO2021

Rover Relocalization for Mars Sample Return by Virtual Template Synthesis and Matching

Tu-Hoa Pham, William Seto, Shreyansh Daftry +11

We consider the problem of rover relocalization in the context of the notional Mars Sample Return campaign. In this campaign, a rover (R1) needs to be capable of autonomously navig…

cs.RO2018

Autonomous Marine Sampling Enhanced by Strategically Deployed Drifters in Marine Flow Fields

Johanna Hansen, Sandeep Manjanna, Alberto Quattrini Li +2

We present a transportable system for ocean observations in which a small autonomous surface vehicle (ASV) adaptively collects spatially diverse samples with aid from a team of ine…

cs.LG2018

Planning in Dynamic Environments with Conditional Autoregressive Models

Johanna Hansen, Kyle Kastner, Aaron Courville +1

We demonstrate the use of conditional autoregressive generative models (van den Oord et al., 2016a) over a discrete latent space (van den Oord et al., 2017b) for forward planning w…

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…