activity
20062019
most citedLearning Robust Dialog Policies in Noisy Environments

19 citations · 42 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CL201912 cited

SIMMC: Situated Interactive Multi-Modal Conversational Data Collection And Evaluation Platform

Paul A. Crook, Shivani Poddar, Ankita De +4

As digital virtual assistants become ubiquitous, it becomes increasingly important to understand the situated behaviour of users as they interact with these assistants. To this end…

cs.LG2019

Domain-Independent turn-level Dialogue Quality Evaluation via User Satisfaction Estimation

Praveen Kumar Bodigutla, Longshaokan Wang, Kate Ridgeway +4

An automated metric to evaluate dialogue quality is vital for optimizing data driven dialogue management. The common approach of relying on explicit user feedback during a conversa…

cs.CL201719 cited

Learning Robust Dialog Policies in Noisy Environments

Maryam Fazel-Zarandi, Shang-Wen Li, Jin Cao +4

Modern virtual personal assistants provide a convenient interface for completing daily tasks via voice commands. An important consideration for these assistants is the ability to r…

cs.MA201511 cited

Decentralized Control of Partially Observable Markov Decision Processes using Belief Space Macro-actions

Shayegan Omidshafiei, Ali-akbar Agha-mohammadi, Christopher Amato +1

The focus of this paper is on solving multi-robot planning problems in continuous spaces with partial observability. Decentralized partially observable Markov decision processes (D…

cs.RO2006

A Hybrid Three Layer Architecture for Fire Agent Management in Rescue Simulation Environment

Alborz Geramifard, Peyman Nayeri, Reza Zamani-Nasab +1

This paper presents a new architecture called FAIS for imple- menting intelligent agents cooperating in a special Multi Agent environ- ment, namely the RoboCup Rescue Simulation Sy…