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.

Podrobná bibliografie
Hlavní autoři: Khan, Mahir Asaf, Ashraf, Adib, Amin, Tahmid Adib
Další autoři: Rashid, Warida
Médium: Diplomová práce
Jazyk:English
Vydáno: Brac University 2023
Témata:
Optimization landscape
Policy optimization
Deep reinforcement learning
Variance reduction
Control variates
Cognitive learning theory
Machine learning
On-line přístup:http://hdl.handle.net/10361/18306

Internet

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

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