Analyzing optimization landscape of recent policy optimization methods in deep RL

Analyzing optimization landscape of recent policy optimization methods in deep RL

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.

Detalles Bibliográficos
Autores principales: Khan, Mahir Asaf, Ashraf, Adib, Amin, Tahmid Adib
Otros Autores: Rashid, Warida
Formato: Tesis
Lenguaje:English
Publicado: Brac University 2023
Materias:
Optimization landscape
Policy optimization
Deep reinforcement learning
Variance reduction
Control variates
Cognitive learning theory
Machine learning
Acceso en línea:http://hdl.handle.net/10361/18306

Internet

http://hdl.handle.net/10361/18306

Ejemplares similares