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pro vyhledávání: '"Rosa, Marek"'
We introduce a dynamic benchmarking system for conversational agents that evaluates their performance through a single, simulated, and lengthy user$\leftrightarrow$agent interaction. The interaction is a conversation between the user and agent, where
Externí odkaz:
http://arxiv.org/abs/2409.20222
Autor:
Guttenberg, Nicholas, Rosa, Marek
We create an artificial system of agents (attention-based neural networks) which selectively exchange messages with each-other in order to study the emergence of memetic evolution and how memetic evolutionary pressures interact with genetic evolution
Externí odkaz:
http://arxiv.org/abs/2104.03404
Autor:
Rosa, Marek, Afanasjeva, Olga, Andersson, Simon, Davidson, Joseph, Guttenberg, Nicholas, Hlubuček, Petr, Poliak, Martin, Vítku, Jaroslav, Feyereisl, Jan
In this work, we propose a novel memory-based multi-agent meta-learning architecture and learning procedure that allows for learning of a shared communication policy that enables the emergence of rapid adaptation to new and unseen environments by lea
Externí odkaz:
http://arxiv.org/abs/1912.01513
Autor:
Vítků, Jaroslav, Dluhoš, Petr, Davidson, Joseph, Nikl, Matěj, Andersson, Simon, Paška, Přemysl, Šinkora, Jan, Hlubuček, Petr, Stránský, Martin, Hyben, Martin, Poliak, Martin, Feyereisl, Jan, Rosa, Marek
Research in Artificial Intelligence (AI) has focused mostly on two extremes: either on small improvements in narrow AI domains, or on universal theoretical frameworks which are usually uncomputable, incompatible with theories of biological intelligen
Externí odkaz:
http://arxiv.org/abs/1903.08772
There is a significant lack of unified approaches to building generally intelligent machines. The majority of current artificial intelligence research operates within a very narrow field of focus, frequently without considering the importance of the
Externí odkaz:
http://arxiv.org/abs/1611.00685
Publikováno v:
Proceedings of the International Multidisciplinary Scientific GeoConference SGEM. 2019, Vol. 19 Issue 1, p323-330. 8p.
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