Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Humphrys, Mark"'
Autor:
Humphrys, Mark
The Action Selection problem is the problem of run-time choice between conflicting and heterogeneous goals, a central problem in the simulation of whole creatures (as opposed to the solution of isolated uninterrupted tasks). This thesis argues that R
Externí odkaz:
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.604775
Autor:
Nolan, Tom, Humphrys, Mark
Publikováno v:
The ITB Journal
This research consisted of investigating seven hypotheses using the following components: 1. Observation of forty-three secondary school children using the Internet and the library to complete five tasks. 2. An interview was held with all the partici
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::147666a5be353a7722ba01753d313d31
https://arrow.tudublin.ie/itbj/vol4/iss2/10
https://arrow.tudublin.ie/itbj/vol4/iss2/10
In imitation learning, agents are trained to carry out certain actions by examining a demonstration of the task at hand. Though common in robotics, little work has been done in translating these concepts to computer games. Given that present-day game
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2294::b0583241828e223227423468e7f51f72
https://pub.uni-bielefeld.de/record/1596787
https://pub.uni-bielefeld.de/record/1596787
Autor:
Humphrys, Mark
The Action Selection problem is the problem of run-time choice between conflicting and heterogenous goals, a central problem in the simulation of whole creatures (as opposed to the solution of isolated uninterrupted tasks). This thesis argues that Re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ac097cb7af892a9977fb2956efc4547
Autor:
Humphrys, Mark
Reinforcement Learning (RL) methods, in contrast to many forms of machine learning, build up value functions for actions. That is, an agent not only knows `what' it wants to do, it also knows `how much' it wants to do it. Traditionally, the latter ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od________68::b36f7a7aa9c8804454d8c5eb54a00cc9
http://cogprints.org/448/
http://cogprints.org/448/
Autor:
Humphrys, Mark
W-learning is a self-organising action-selection scheme for systems with multiple parallel goals, such as autonomous mobile robots. It uses ideas drawn from the subsumption architecture for mobile robots (Brooks), implementing them with the Q-learnin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od________68::46ccf7394befe211a745cc2ab89705a9
http://cogprints.org/451/
http://cogprints.org/451/
Publikováno v:
2012 6th IEEE International Conference Intelligent Systems; 1/ 1/2012, p121-129, 9p
Publikováno v:
Parsing the Turing Test; 2008, p237-260, 24p
Autor:
Nolfi, Stefano, Baldassarre, Gianluca, Calabretta, Raffaele, Hallam, John C. T., Marocco, Davide, Meyer, Jean-Arcady, Miglino, Orazio, Parisi, Domenico, Gorman, Bernard, Thurau, Christian, Bauckhage, Christian, Humphrys, Mark
Publikováno v:
From Animals to Animats 9; 2006, p655-666, 12p
Publikováno v:
From Animals to Animats 8; 2004, p39-48, 10p