Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Kwiatkowski, Ariel"'
Autor:
Kwiatkowski, Ariel, Towers, Mark, Terry, Jordan, Balis, John U., De Cola, Gianluca, Deleu, Tristan, Goulão, Manuel, Kallinteris, Andreas, Krimmel, Markus, KG, Arjun, Perez-Vicente, Rodrigo, Pierré, Andrea, Schulhoff, Sander, Tai, Jun Jet, Tan, Hannah, Younis, Omar G.
Reinforcement Learning (RL) is a continuously growing field that has the potential to revolutionize many areas of artificial intelligence. However, despite its promise, RL research is often hindered by the lack of standardization in environment and a
Externí odkaz:
http://arxiv.org/abs/2407.17032
Crowd simulation is important for video-games design, since it enables to populate virtual worlds with autonomous avatars that navigate in a human-like manner. Reinforcement learning has shown great potential in simulating virtual crowds, but the des
Externí odkaz:
http://arxiv.org/abs/2309.12841
The discounting mechanism in Reinforcement Learning determines the relative importance of future and present rewards. While exponential discounting is widely used in practice, non-exponential discounting methods that align with human behavior are oft
Externí odkaz:
http://arxiv.org/abs/2302.05740
Simulating trajectories of virtual crowds is a commonly encountered task in Computer Graphics. Several recent works have applied Reinforcement Learning methods to animate virtual agents, however they often make different design choices when it comes
Externí odkaz:
http://arxiv.org/abs/2209.09344
Autor:
Kwiatkowski, Ariel, Alvarado, Eduardo, Kalogeiton, Vicky, Liu, C. Karen, Pettré, Julien, van de Panne, Michiel, Cani, Marie-Paule
Reinforcement Learning is an area of Machine Learning focused on how agents can be trained to make sequential decisions, and achieve a particular goal within an arbitrary environment. While learning, they repeatedly take actions based on their observ
Externí odkaz:
http://arxiv.org/abs/2203.04735
The cooperation among AI systems, and between AI systems and humans is becoming increasingly important. In various real-world tasks, an agent needs to cooperate with unknown partner agent types. This requires the agent to assess the behaviour of the
Externí odkaz:
http://arxiv.org/abs/2110.01266
Publikováno v:
In Computers & Graphics February 2023 110:28-37
Simulating trajectories of virtual crowds is a commonly encountered task in Computer Graphics. Several recent works have applied Reinforcement Learning methods to animate virtual agents, however they often make different design choices when it comes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bda8d42d3f35566a0375efd90902c481
https://hal.science/hal-03780979/document
https://hal.science/hal-03780979/document