El académico Hugo Garcés del Departamento de Ingeniería Informática y Ciencias de la Computación y director del Doctorado en IA, le invitan a participar de la charla “Local-Global Interface of Reinforcement Learning and Model Predictive Control” de Nathan Lawrence, investigador de UC Berkeley especialista en Inteligencia Artificial

Viernes 13 de Junio, 13 horas.
Por TEAMS

Join by Microsoft Teams:
https://teams.microsoft.com/l/meetup-join/19%3ameeting_NmQ3NjZiZjAtZWI5NC00ODliLWFhZDEtZWNiYzlkN2I3ZTE3%40thread.v2/0?context=%7b%22Tid%22%3a%2256582b9e-8824-49d0-a665-cd328c0e004a%22%2c%22Oid%22%3a%22d360ebf4-e969-487a-8c54-4a292f233a38%22%7d

Unirse a la reunión ahora
Id. de reunión: 218 087 319 025 6
Código de acceso: fw6Gw98t

Nathan P. Lawrence completed his Ph.D. in Applied Mathematics at the University of British Columbia in 2023. He then served as a postdoctoral fellow at UBC and currently continues his research as a Postdoctoral Scholar in the Mesbah Lab at UC Berkeley’s Department of Chemical & Biomolecular Engineering. His main research interests lie at the intersection of deep reinforcement learning (RL) and model-predictive control (MPC), with a goal to develop safe, robust controllers for industrial processes.