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.

Détails bibliographiques
Auteurs principaux: Khan, Mahir Asaf, Ashraf, Adib, Amin, Tahmid Adib
Autres auteurs: Rashid, Warida
Format: Thèse
Langue:English
Publié: Brac University 2023
Sujets:
Optimization landscape
Policy optimization
Deep reinforcement learning
Variance reduction
Control variates
Cognitive learning theory
Machine learning
Accès en ligne:http://hdl.handle.net/10361/18306

Internet

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

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