RL Odyssey 2: Intro to Deep Reinforcement Learning
Details
Delve into the realm of Deep Reinforcement Learning (DRL) in this introductory lecture, where we explore the fusion of neural networks and reinforcement learning algorithms. Starting with the foundational Deep Q-Networks (DQN), we navigate through the landscape of Policy Gradient Methods, including REINFORCE and its enhancements, leading to Proximal Policy Optimization (PPO) and Actor-Critic architectures. Throughout the journey, we uncover the mechanisms behind each method, their applications, and the challenges they face, offering insights into the future directions of DRL.
L'evento inizia alle 18:00, il talk inizia alle 18:30.
Speaker: Lorenzo Bonanni & Alberto Righetti
Aula: T04
REGISTRAZIONE:
https://www.eventbrite.it/e/888311011147