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.

Opis bibliograficzny
Główni autorzy: Khan, Mahir Asaf, Ashraf, Adib, Amin, Tahmid Adib
Kolejni autorzy: Rashid, Warida
Format: Praca dyplomowa
Język:English
Wydane: Brac University 2023
Hasła przedmiotowe:
Optimization landscape
Policy optimization
Deep reinforcement learning
Variance reduction
Control variates
Cognitive learning theory
Machine learning
Dostęp online:http://hdl.handle.net/10361/18306

Internet

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

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