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Reinforced Structured State-Evolution for Vision-Language Navigation [article]

Jinyu Chen, Chen Gao, Erli Meng, Qiong Zhang, Si Liu
2022 arXiv   pre-print
Vision-and-language Navigation (VLN) task requires an embodied agent to navigate to a remote location following a natural language instruction.  ...  In this paper, we propose a novel Structured state-Evolution (SEvol) model to effectively maintain the environment layout clues for VLN.  ...  To utilise the layout information, we propose a novel model for vision-andlanguage navigation, named the Structured state-Evolution model (SEvol), which maintains a structured memory and evolves a structured  ... 
arXiv:2204.09280v2 fatcat:mjez4tbmafe35ljq3ttokhzbyy

A Survey on Visual Navigation for Artificial Agents with Deep Reinforcement Learning

Fanyu Zeng, Chen Wang, Shuzhi Sam Ge
2020 IEEE Access  
Then, we systematically describe five main categories of visual DRL navigation: direct DRL vNavigation, hierarchical DRL vNavigation, multi-task DRL vNavigation, memory-inference DRL vNavigation and vision-language  ...  Visual navigation for artificial agents with deep reinforcement learning (DRL) is a new research hotspot in artificial intelligence and robotics that incorporates the decision making of DRL into visual  ...  Fig. 15 shows the architecture of vision-and-language navigation, in which the fusion of language instruction and vision as state inputs are fed into artificial agents for navigation policy.  ... 
doi:10.1109/access.2020.3011438 fatcat:ie6qvu24qbapbjxtiudh7fumgy

NavigationNet: A Large-scale Interactive Indoor Navigation Dataset [article]

He Huang, Yujing Shen, Jiankai Sun, Cewu Lu
2018 arXiv   pre-print
To address this, we proposed NavigationNet, a computer vision dataset and benchmark to allow the utilization of deep reinforcement learning on scene-understanding-based indoor navigation.  ...  We also proposed and formalized several typical indoor routing problems that are suitable for deep reinforcement learning.  ...  NavigationNet NavigationNet is specifically designed for applying reinforcement learning methods to indoor navigation tasks.  ... 
arXiv:1808.08374v1 fatcat:25kouetf7jcp7msmrhczqjerzi

VisualHints: A Visual-Lingual Environment for Multimodal Reinforcement Learning [article]

Thomas Carta, Subhajit Chaudhury, Kartik Talamadupula, Michiaki Tatsubori
2020 arXiv   pre-print
We present VisualHints, a novel environment for multimodal reinforcement learning (RL) involving text-based interactions along with visual hints (obtained from the environment).  ...  However, most traditional RL environments either solve pure vision-based tasks like Atari games or video-based robotic manipulation; or entirely use natural language as a mode of interaction, like Text-based  ...  LSTM-DQN assumed some structure in the output command setting; this was tackled by DRRN (Deep Reinforcement Relevance Network) by addressing a natural language action space for generating action commands  ... 
arXiv:2010.13839v1 fatcat:rtwpdbflvzcyln4ndeaa4aqv5m

Navigating Borders: The Evolution of the Cass Clay Food Partners

Abby Gold, Noelle Harden
2018 Journal of Agriculture, Food Systems, and Community Development  
We also highlight the many types of boundaries the network has navigated in order to attain success in advancing alternative food systems for the Red River Valley community.  ...  In this paper, we describe the evolution of the network from project-based work to policy development to a partnership that integrates both programs and policy for greater impact.  ...  Acknowledgments The authors would like to thank the Cass Clay Food Partners steering committee and the Cass Clay Food Commission for their work to increase food access and build a health food system across  ... 
doi:10.5304/jafscd.2018.08b.010 fatcat:sttvrcw2nvchzclfibokhp4nce

Enhancing a requirements baseline with scenarios

Julio Cesar Sampaio do Prado Leite, Gustavo Rossi, Federico Balaguer, Vanesa Maiorana, Gladys Kaplan, Graciela Hadad, Alejandro Oliveros
1997 Requirements Engineering  
For us, a scenario is an evolving description of situations in the environment.  ...  Our proposal is framed by Leite's work on a client-oriented requirements baseline, which aims to model the external requirements of a software system and its evolution.  ...  Our proposal is 197 innovative in three important aspects: the use of scenarios as means for describing evolution, the vision that scenarios start from situations in the macrosystem, and the integration  ... 
doi:10.1007/bf02745371 fatcat:sf2s2mm7nnapdaisce5ka5p6wi

Applied Machine Learning for Games: A Graduate School Course [article]

Yilei Zeng, Aayush Shah, Jameson Thai, Michael Zyda
2021 arXiv   pre-print
Graduate students enrolled in this course apply different fields of machine learning techniques such as computer vision, natural language processing, computer graphics, human computer interaction, robotics  ...  In this paper, we describe our machine learning course designed for graduate students interested in applying recent advances of deep learning and reinforcement learning towards gaming.  ...  Computer Vision and Natural Language Processing Learning to play from pixels have become a widely accepted approach for traning AI agents after DeepMinds paper of playing Atari with Deep Reinforcement  ... 
arXiv:2012.01148v2 fatcat:f44ln32jnbfhrearv234ylteru

Leadership in Public Health: New Competencies for the Future

Nick Yphantides, Steven Escoboza, Nick Macchione
2015 Frontiers in Public Health  
For public health and the healthcare delivery systems to act in concert, education should be structured to reinforce a collaborative approach.  ...  In Contemporary Public Health, Keck, Scutchfield, and Holsinger call for changes in vision among those leading the evolution of healthcare from individualistic to community-wide approaches to improve health  ... 
doi:10.3389/fpubh.2015.00024 pmid:25767792 pmcid:PMC4341427 fatcat:d4alstwpcneajb4tu4qqsgc7sq

Object-oriented Targets for Visual Navigation using Rich Semantic Representations [article]

Jean-Benoit Delbrouck, Stéphane Dupont
2018 arXiv   pre-print
When searching for an object humans navigate through a scene using semantic information and spatial relationships.  ...  We look for an object using our knowledge of its attributes and relationships with other objects to infer the probable location.  ...  [12] proposed a deep reinforcement learning framework for target-driven visual navigation. As input to the model, only the target frame is given without any other priors about the environment.  ... 
arXiv:1811.09178v2 fatcat:isc3ox3i5jd47pgjqvosrefavm

The origins of syntax: from navigation to language

Mark Bartlett, Dimitar Kazakov
2005 Connection science  
We suggest that the parser evolved for navigation might initially have been limited to handling regular languages, and describe a mechanism that may have created selective pressure for a context-free parser  ...  We discuss two independent conjectures about the way in which navigation could have supported the emergence of this aspect of the human language faculty: firstly, by promoting the development of a parser  ...  However, it is clear that a parser evolved for navigation could have benefited the evolution of a human language faculty by lending it its power to handle syntactic structure, regardless of the actual  ... 
doi:10.1080/09540090500282479 fatcat:6fmrgym7fjebhpuafvq4nyhbly

Survey on reinforcement learning for language processing [article]

Victor Uc-Cetina, Nicolas Navarro-Guerrero, Anabel Martin-Gonzalez, Cornelius Weber, Stefan Wermter
2022 arXiv   pre-print
This paper reviews the state of the art of RL methods for their possible use for different problems of natural language processing, focusing primarily on conversational systems, mainly due to their growing  ...  Finally, we elaborate on promising research directions in natural language processing that might benefit from reinforcement learning.  ...  We thank Burhan Hafez for discussions and providing references highly relevant to this review.  ... 
arXiv:2104.05565v3 fatcat:hiwdpykddzhzzi3wqcv4hhknba

A Survey of Deep Learning Techniques for Mobile Robot Applications [article]

Jahanzaib Shabbir, Tarique Anwer
2018 arXiv   pre-print
This research survey will present a summarization of the current research with a specific focus on the gains and obstacles for deep learning to be applied to mobile robotics.  ...  Within these models, distinct types of layers have undergone evolution for many aims.  ...  Deep learning architectures for instance deep neural, deep beliefs as well as recurrent neural networks have been utilized in arenas inclusive of computer vision, natural language processing, social network  ... 
arXiv:1803.07608v1 fatcat:edwca3yd5fhcri3zkfdfg2o2ju

Learning to "brave up": Collaboration, agency, and authority in multicultural, multilingual, and radically inclusive classrooms

Alison G. Dover, Fernando Rodriguez-Valls
2018 International Journal of Multicultural Education  
The Summer Language Academy (SLA) is an innovative and intensive summer program for high-school aged newcomers/new Americans, English learners, and emergent bilinguals, as well as for teachers working  ...  In the SLA, students and educators collaboratively explore questions of identity, language, and culture through high-interest texts, arts-based curriculum, and redefinition of teaching and learning as  ...  Throughout the SLA, educators strategically and intentionally analyzed the role languages could play to either interrupt or reinforce linguistic inclusion.  ... 
doi:10.18251/ijme.v20i3.1670 fatcat:g5vcsftt7zclpgkb26yd6l4pza

The RobotSlang Benchmark: Dialog-guided Robot Localization and Navigation [article]

Shurjo Banerjee, Jesse Thomason, Jason J. Corso
2020 arXiv   pre-print
Autonomous robot systems for applications from search and rescue to assistive guidance should be able to engage in natural language dialog with people.  ...  We present an initial model for the NDH task, and show that an agent trained in simulation can follow the RobotSlang dialog-based navigation instructions for controlling a physical robot platform.  ...  Vikas Dhiman for their substantive discussions that were fundamental to RobotSlang's evolution.  ... 
arXiv:2010.12639v1 fatcat:k53mcuuvmrghhivcmcyx63qiea

Page 965 of Psychological Abstracts Vol. 82, Issue 2 [page]

1995 Psychological Abstracts  
Leonard Evolution of a subsumption architecture that performs a wall following task for an autonomous mobile robot - John R.  ...  Hollatz Applications Unsupervised learning for mobile robot navigation using prob- abilistic data association - Ingemar J. Cox and John J.  ... 
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