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.

Detaylı Bibliyografya
Asıl Yazarlar: Khan, Mahir Asaf, Ashraf, Adib, Amin, Tahmid Adib
Diğer Yazarlar: Rashid, Warida
Materyal Türü: Tez
Dil:English
Baskı/Yayın Bilgisi: Brac University 2023
Konular:
Optimization landscape
Policy optimization
Deep reinforcement learning
Variance reduction
Control variates
Cognitive learning theory
Machine learning
Online Erişim:http://hdl.handle.net/10361/18306

Internet

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

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