SwePub
Sök i SwePub databas

  Utökad sökning

Träfflista för sökning "WFRF:(Veiga Tiago) "

Sökning: WFRF:(Veiga Tiago)

  • Resultat 1-3 av 3
Sortera/gruppera träfflistan
   
NumreringReferensOmslagsbildHitta
1.
  • 2019
  • Tidskriftsartikel (refereegranskat)
  •  
2.
  • Renoux, Jennifer, 1989-, et al. (författare)
  • A Unified Decision-Theoretic Model for Information Gathering and Communication Planning
  • 2020
  • Ingår i: 2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). - : IEEE. - 9781728160757 - 9781728160764 ; , s. 67-74
  • Konferensbidrag (refereegranskat)abstract
    • We consider the problem of communication planning for human-machine cooperation in stochastic and partially observable environments. Partially Observable Markov Decision Processes with Information Rewards (POMDPs-IR) form a powerful framework for information-gathering tasks in such environments. We propose an extension of the POMDP-IR model, called a Communicating POMDP-IR (com-POMDP-IR), that allows an agent to proactively plan its communication actions by using an approximation of the human's beliefs. We experimentally demonstrate the capability of our com-POMDPIR agent to limit its communication to relevant information and its robustness to lost messages.
  •  
3.
  • Veiga, Tiago, et al. (författare)
  • From Reactive to Active Sensing : A Survey on Information Gathering in Decision-theoretic Planning
  • 2023
  • Ingår i: ACM Computing Surveys. - : Association for Computing Machinery (ACM). - 0360-0300 .- 1557-7341. ; 55:13S
  • Tidskriftsartikel (refereegranskat)abstract
    • In traditional decision-theoretic planning, information gathering is a means to a goal. The agent receives information about its environment (state or observation) and uses it as a way to optimize a state-based reward function. Recent works, however, have focused on application domains in which information gathering is not only the mean but the goal itself. The agent must optimize its knowledge of the environment. However, traditional Markov-based decision-theoretic models cannot account for rewarding the agent based on its knowledge, which leads to the development of many approaches to overcome this limitation. We survey recent approaches for using decision-theoretic models in information-gathering scenarios, highlighting common practices and existing generic models, and show that existing methods can be categorized into three classes: reactive sensing, single-agent active sensing, and multi-agent active sensing. Finally, we highlight potential research gaps and suggest directions for future research.
  •  
Skapa referenser, mejla, bekava och länka
  • Resultat 1-3 av 3
Typ av publikation
tidskriftsartikel (2)
konferensbidrag (1)
Typ av innehåll
refereegranskat (3)
Författare/redaktör
Renoux, Jennifer, 19 ... (2)
Kelly, Daniel (1)
Bengtsson-Palme, Joh ... (1)
Nilsson, Henrik (1)
Kelly, Ryan (1)
Li, Ying (1)
visa fler...
Moore, Matthew D. (1)
Liu, Fang (1)
Zhang, Yao (1)
Jin, Yi (1)
Raza, Ali (1)
Rafiq, Muhammad (1)
Zhang, Kai (1)
Khatlani, T (1)
Kahan, Thomas (1)
Sörelius, Karl, 1981 ... (1)
Batra, Jyotsna (1)
Roobol, Monique J (1)
Backman, Lars (1)
Yan, Hong (1)
Schmidt, Axel (1)
Lorkowski, Stefan (1)
Thrift, Amanda G. (1)
Zhang, Wei (1)
Hammerschmidt, Sven (1)
Patil, Chandrashekha ... (1)
Wang, Jun (1)
Pollesello, Piero (1)
Conesa, Ana (1)
El-Esawi, Mohamed A. (1)
Zhang, Weijia (1)
Li, Jian (1)
Marinello, Francesco (1)
Frilander, Mikko J. (1)
Wei, Pan (1)
Badie, Christophe (1)
Zhao, Jing (1)
Li, You (1)
Bansal, Abhisheka (1)
Rahman, Proton (1)
Parchi, Piero (1)
Polz, Martin (1)
Ijzerman, Adriaan P. (1)
Subhash, Santhilal, ... (1)
Quinn, Terence J. (1)
Uversky, Vladimir N. (1)
Gemmill, Alison (1)
Zhang, Yi (1)
Meule, Adrian (1)
Vohl, Marie-Claude (1)
visa färre...
Lärosäte
Örebro universitet (2)
Göteborgs universitet (1)
Uppsala universitet (1)
Högskolan i Halmstad (1)
Stockholms universitet (1)
Lunds universitet (1)
visa fler...
Chalmers tekniska högskola (1)
Karolinska Institutet (1)
visa färre...
Språk
Engelska (3)
Forskningsämne (UKÄ/SCB)
Naturvetenskap (2)
Teknik (1)
Medicin och hälsovetenskap (1)

År

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy