University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > Model-Based and Model-Free: A Tale of Two Paradigms Told from Reinforcement Learning and Generative AI

Log in

University Account

External (via Google)

Information on

Subscribing to talks details

Finding a talk details

Adding a talk details

Disseminating talks details

Help and Documentation details

Model-Based and Model-Free: A Tale of Two Paradigms Told from Reinforcement Learning and Generative AI

Download to your calendar using vCal

Xunyu Zhou (Columbia University)
Monday 10 November 2025, 09:40-10:20
Seminar Room 1, Newton Institute.

If you have a question about this talk, please contact nobody.

SCLW01 - Bridging Stochastic Control And Reinforcement Learning: Theories and Applications

In this talk I will discuss the key connections and differences between the model-based andmodel-free paradigms from the perspectives of reinforcement learning and generative AI. I will arguethat establishing a sufficiently accurate model is both impossible and unnecessary for the ultimatepurpose of making optimal decisions, but there is some quantity, one that is an aggregate measure ofthe model parameters and control actions, that needs to be learned and can indeed be learned efficientlyin a data-driven way.

This talk is part of the Isaac Newton Institute Seminar Series series.

This talk is included in these lists:

Note that ex-directory lists are not shown.

Model-Based and Model-Free: A Tale of Two Paradigms Told from Reinforcement Learning and Generative AI

📅 Download to calendar (vCal)

⚠️ Important: SCLW01 - Bridging Stochastic Control And Reinforcement Learning: Theories and Applications

👤 Speaker: Xunyu Zhou (Columbia University)
📅 Date & Time: Monday 10 November 2025, 09:40 - 10:20
📍 Venue: Seminar Room 1, Newton Institute

Questions? Contact the organiser

Abstract

Series This talk is part of the Isaac Newton Institute Seminar Series series.

Included in Lists

Note: Ex-directory lists are not shown.

Log in

🔐 Log In

Information on

ℹ️ Information

Model-Based and Model-Free: A Tale of Two Paradigms Told from Reinforcement Learning and Generative AI

This talk is included in these lists:

Model-Based and Model-Free: A Tale of Two Paradigms Told from Reinforcement Learning and Generative AI

Abstract

Included in Lists

Log in

🔐 Log In

Information on

ℹ️ Information

Model-Based and Model-Free: A Tale of Two Paradigms Told from Reinforcement Learning and Generative AI

This talk is included in these lists:

Other lists

Other talks

Model-Based and Model-Free: A Tale of Two Paradigms Told from Reinforcement Learning and Generative AI

Abstract

Included in Lists