Pasar al contenido principal

Constrained Learning for Dynamical Systems

Fecha de inicio:

Seminario de Probabilidad y Estadística

Título: Constrained Learning for Dynamical Systems

Expositor: Santiago Paternain (Rensselaer Polytechnic Institute)

Resumen: Learning has shown great success in recent years in controlling complex dynamical systems. However, for the most part, when training a policy most of the algorithms only consider a single objective function. However physical systems are required to satisfy a set of operation constraints, such as safety constraints or minimum performance levels. Naturally, one can express these problems as constrained optimization problems. These problems are in general non-convex and thus challenging. In this talk, I will establish that solving Reinforcement Learning problems under constraints is in fact not harder than solving unconstrained Reinforcement Learning problems.


Viernes 19/11 a las 10:30
zoom

Contacto: Alejandro Cholaquidis - acholaquidis@hotmail.com


El viernes 3 de Diciembre, realizaremos un almuerzo de cierre del seminario de Probabilidad y Estadística 2021,  a las 12.30 en Enriqueta  Bar - (Parque Rodó).

Aquellos interesados en asistir, se agradece llenar el siguiente formulario:

https://docs.google.com/forms/d/e/1FAIpQLSfE7mcauuuSbWyTJgul4cqBrZKDBaXCoLX_4w5QPGBrI8QETw/viewform?usp=sf_link

***********************************************************************************

Canal de youtube: 

https://www.youtube.com/channel/UCOPZEOrLSAYPz2qCAL-KqMg/about

Twitter

https://twitter.com/PyEUdelar

Link de zoom para la charla

https://salavirtual-udelar.zoom.us/j/89466045708?pwd=SENUTDQ3KzZNTWN2U3JScUZIdDZTQT09

ID de reunión: 894 6604 5708
Código de acceso: probable-1

Instituto o Unidad
Fecha de fin