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.

Detalhes bibliográficos
Principais autores: Khan, Mahir Asaf, Ashraf, Adib, Amin, Tahmid Adib
Outros Autores: Rashid, Warida
Formato: Tese
Idioma:English
Publicado em: Brac University 2023
Assuntos:
Optimization landscape
Policy optimization
Deep reinforcement learning
Variance reduction
Control variates
Cognitive learning theory
Machine learning
Acesso em linha:http://hdl.handle.net/10361/18306

Internet

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

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