activity
20182022
most citedA Critical Investigation of Deep Reinforcement Learning for Navigation

22 citations · 32 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2022

Iterative Vision-and-Language Navigation

Jacob Krantz, Shurjo Banerjee, Wang Zhu +4

We present Iterative Vision-and-Language Navigation (IVLN), a paradigm for evaluating language-guided agents navigating in a persistent environment over time. Existing Vision-and-L…

cs.RO2020★ 1 cited

The RobotSlang Benchmark: Dialog-guided Robot Localization and Navigation

Shurjo Banerjee, Jesse Thomason, Jason J. Corso

Autonomous robot systems for applications from search and rescue to assistive guidance should be able to engage in natural language dialog with people. To study such cooperative co…

cs.LG2019

A Geometric Approach to Online Streaming Feature Selection

Salimeh Yasaei Sekeh, Madan Ravi Ganesh, Shurjo Banerjee +2

Online Streaming Feature Selection (OSFS) is a sequential learning problem where individual features across all samples are made available to algorithms in a streaming fashion. In…

cs.LG2018★ 9 cited

Floyd-Warshall Reinforcement Learning: Learning from Past Experiences to Reach New Goals

Vikas Dhiman, Shurjo Banerjee, Jeffrey M. Siskind +1

Consider mutli-goal tasks that involve static environments and dynamic goals. Examples of such tasks, such as goal-directed navigation and pick-and-place in robotics, abound. Two t…

cs.RO2018★ 22 cited

A Critical Investigation of Deep Reinforcement Learning for Navigation

Vikas Dhiman, Shurjo Banerjee, Brent Griffin +2

The navigation problem is classically approached in two steps: an exploration step, where map-information about the environment is gathered; and an exploitation step, where this in…