Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Michael Papasimeon"'
Publikováno v:
Frontiers in Artificial Intelligence, Vol 4 (2021)
We investigate the application of state-of-the-art goal recognition techniques for behaviour recognition over complex continuous domains using model predictive control (MPC) for trajectory generation. We formally define the problem of kinodynamic beh
Externí odkaz:
https://doaj.org/article/0985be7fe47a42adba2f2e212d6d285e
Publikováno v:
Operations Research Perspectives, Vol 6, Iss , Pp - (2019)
The automatic generation of behavioural models for intelligent agents in military simulation and experimentation remains a challenge. Genetic Algorithms are a global optimization approach which is suitable for addressing complex problems where locati
Externí odkaz:
https://doaj.org/article/86541799a26f42068182efe2af4e33ad
Publikováno v:
Neural Computing and Applications. 34:1713-1733
Neural networks are effective function approximators, but hard to train in the reinforcement learning (RL) context mainly because samples are correlated. In complex problems, a neural RL approach is often able to learn a better solution than tabular
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d40302fa0487118da231bfcd77c8d8ce
https://doi.org/10.1007/s00521-021-06270-6
https://doi.org/10.1007/s00521-021-06270-6
Autor:
Michael Papasimeon, Lyndon Benke
Publikováno v:
Multi-Agent-Based Simulation XXII ISBN: 9783030945473
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ced1508168191c5542928d570f6778bc
https://doi.org/10.1007/978-3-030-94548-0_6
https://doi.org/10.1007/978-3-030-94548-0_6
Publikováno v:
2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f4d8fd9a2f2854ebd4ed6b75d449759
https://doi.org/10.1109/ictai52525.2021.00219
https://doi.org/10.1109/ictai52525.2021.00219
Autor:
Ronal Singh, Lyndon Benke, Tim Miller, Michael Papasimeon, Emma Baillie, Joshua Newn, Melissa J. Rogerson
Publikováno v:
CHI PLAY
More than 18 months after it was first identified, the COVID-19 pandemic continues to restrict researchers’ opportunities to conduct research in face-to-face settings. This affects studies requiring participants to be co-located, such as those that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cab2eeea1ac7bf062dc012100d6746b4
https://doi.org/10.1145/3450337.3483485
https://doi.org/10.1145/3450337.3483485
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030917784
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c809089ffb25130d7f940e32cf449aac
https://doi.org/10.1007/978-3-030-91779-1_6
https://doi.org/10.1007/978-3-030-91779-1_6
Publikováno v:
Lecture Notes in Management and Industrial Engineering ISBN: 9783030601348
Behaviour trees offer a means to systematically decompose a behaviour into a set of steps within a tree structure. Genetic programming, which has at its core the evolution of tree-like structures, thus presents an ideal tool to identify novel behavio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e72d324db01402a25199270340713952
https://doi.org/10.1007/978-3-030-60135-5_19
https://doi.org/10.1007/978-3-030-60135-5_19
Publikováno v:
IJCNN
One of the challenging problems in sequence generation tasks is the optimized generation of sequences with specific desired goals. Current sequential generative models mainly generate sequences to closely mimic the training data, without direct optim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bed4bd103a84d70a94ffa796885a8174
Publikováno v:
Operations Research Perspectives, Vol 6, Iss, Pp-(2019)
The automatic generation of behavioural models for intelligent agents in military simulation and experimentation remains a challenge. Genetic Algorithms are a global optimization approach which is suitable for addressing complex problems where locati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aef2de9bcee4575798118dcf2e65d15d
https://hdl.handle.net/10419/246398
https://hdl.handle.net/10419/246398