Zobrazeno 1 - 10
of 104
pro vyhledávání: '"spelteori"'
Autor:
Sjöström, Maja
Denna uppsats utforskar hur elektroniska spel fungerar som medium för berättande genom att undersöka aspekter av debatten som ägde rum i början av 2000-talet mellan narratologer och ludologer, angående hur man bäst bör närma sig och studera
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-222392
Autor:
Stathatos, Nikitas
In this work, we are interested in expressing and studying certain formal properties of multi-agent games. In particular, we are interested in the case in which a team of agents with imperfect information is playing against the environment. This is m
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-325866
Autor:
Pihl, Gustaf
In this thesis I explore a construction for Multi-Agent Games of Imperfect Information Against Nature (MAGIIAN) introduced by Gurov et al. called the Multiplayer Knowledge-Based Subset Construction (MKBSC). Multi-agent games of imperfect information
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-324432
Autor:
Xie, Wanyun
The distributed nature of Federated Learning (FL) creates security-related vulnerabilities including training-time attacks. Recently, it has been shown that well-known Byzantine-resilient aggregation schemes are indeed vulnerable to an informed adver
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-321230
Autor:
Malmgren, Dennis
A key obstacle for training an autonomous agent in real air-to-air combat is the lack of available training data, which makes it difficult to apply supervised learning techniques. Self-play is a method that can be used where an agent trains against i
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-312257
Autor:
Stathatos, Nikitas
In this work, we are interested in expressing and studying certain formal properties of multi-agent games. In particular, we are interested in the case in which a team of agents with imperfect information is playing against the environment. This is m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______260::2e6da9ff0a6da6d916e1c9f0def223c5
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-325866
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-325866
Autor:
Malmgren, Dennis
A key obstacle for training an autonomous agent in real air-to-air combat is the lack of available training data, which makes it difficult to apply supervised learning techniques. Self-play is a method that can be used where an agent trains against i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0f31d44d6c3401074ae814336218b053
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-312257
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-312257
Autor:
Ryblad, Filip
The task of training AIs for imperfect-information games has long been difficult. However, recently the algorithm ReBeL, a general framework for self-play reinforcement learning, has been shown to excel at heads-up no-limit Texas hold 'em, among othe
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-335896
Autor:
Karelas, Georgios-Nikolaos
The problem of causal discovery is to learn the true causal relations among a system of random variables based on the available data. Learning the true causal structure of p variables can sometimes be difficult, but it is crucial in many fields of sc
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-299521
Autor:
Karelas, Georgios-Nikolaos
The problem of causal discovery is to learn the true causal relations among a system of random variables based on the available data. Learning the true causal structure of p variables can sometimes be difficult, but it is crucial in many fields of sc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c4ab41f732b84a34786313674070434c
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-299521
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-299521