The Evolution of Deep Reinforcement Learning Techniques
Presenter: Pierriccardo Olivieri
DEIB PHD Student
DEIB - "A. Alario" Seminar Room (Bld. 21)
March 5th, 2025 | 9.30 am
DEIB PHD Student
DEIB - "A. Alario" Seminar Room (Bld. 21)
March 5th, 2025 | 9.30 am
Sommario
On March 5th, 2025 at 9.30 am Pierriccardo Olivieri, PHD Student in Information Technology, will hold a seminar on "The Evolution of Deep Reinforcement Learning Techniques"at DEIB "Alessandra Alario" Seminar Room (Building 21).
Deep Reinforcement Learning (DRL) combines the representation power of deep learning with the optimal decision-making capabilities of reinforcement learning.
It has achieved remarkable success in recent years, including surpassing human experts in complex games such as Go and chess, as well as solving challenging real-world problems. In this seminar, we offer a comprehensive exploration of the historical development of DRL algorithms, tracing their evolution from classical reinforcement learning methods to cutting-edge deep learning techniques that define the current state of the art.
Deep Reinforcement Learning (DRL) combines the representation power of deep learning with the optimal decision-making capabilities of reinforcement learning.
It has achieved remarkable success in recent years, including surpassing human experts in complex games such as Go and chess, as well as solving challenging real-world problems. In this seminar, we offer a comprehensive exploration of the historical development of DRL algorithms, tracing their evolution from classical reinforcement learning methods to cutting-edge deep learning techniques that define the current state of the art.
