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.

Bibliographic Details
Main Authors: Khan, Mahir Asaf, Ashraf, Adib, Amin, Tahmid Adib
Other Authors: Rashid, Warida
Format: Thesis
Language:English
Published: Brac University 2023
Subjects:
Optimization landscape
Policy optimization
Deep reinforcement learning
Variance reduction
Control variates
Cognitive learning theory
Machine learning
Online Access:http://hdl.handle.net/10361/18306

Internet

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

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