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
Main Authors: Khan, Mahir Asaf, Ashraf, Adib, Amin, Tahmid Adib
Outros autores: Rashid, Warida
Formato: Thesis
Idioma:English
Publicado: Brac University 2023
Subjects:
Optimization landscape
Policy optimization
Deep reinforcement learning
Variance reduction
Control variates
Cognitive learning theory
Machine learning
Acceso en liña:http://hdl.handle.net/10361/18306

Internet

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

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