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.

Bibliografiset tiedot
Päätekijät: Khan, Mahir Asaf, Ashraf, Adib, Amin, Tahmid Adib
Muut tekijät: Rashid, Warida
Aineistotyyppi: Opinnäyte
Kieli:English
Julkaistu: Brac University 2023
Aiheet:
Optimization landscape
Policy optimization
Deep reinforcement learning
Variance reduction
Control variates
Cognitive learning theory
Machine learning
Linkit:http://hdl.handle.net/10361/18306

Internet

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

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