Search for tag: "reward"

MLP 23-24 Week 10 Live Session - From AI to RLHF

Machine Learning Practical 2023-24 Live Lecture session for Week 10 of Semester 1. From Artificial Intelligence to Reinforcement Learning from Human Feedback

From  Pavlos Andreadis 1 likes 21 plays 0  

Interview with Peter Dayan

As part of the 60 years of computer science and AI celebration, distinguished researchers from both disciplines have been invited to visit the School of Informatics. We have asked them to tell us…

From  Informatics at Edinburgh 0 likes 49 plays 0  

Tanut Treetanthiploet - Student talks

ICMS hosted the Eurpopean Summer School in Financial Mathematics 14th Ediition Asymptotic Randomised Control with applications to bandits and dynamic pricing Tanut Treetanthiploet (Oxford…

From  Greg McCracken 0 likes 34 plays 0  

Nazem Khan - Student talks

ICMS hosted the Eurpopean Summer School in Financial Mathematics 14th Ediition Strong sensitivity to large losses and ρ-arbitrage for convex risk measures Nazem Khan (University of…

From  Greg McCracken 0 likes 55 plays 0  

Xin Zhi - Student Talks

30 Aug- 03 Sept 2021 ICMS hosted the European Summer School in Financial Mathematics 14th Ediition On a fast tree method for optimal stopping Xin Zhi (University of Warwick) 1st September,…

From  Greg McCracken 0 likes 37 plays 0  

Clip of Kaltura Capture recording - September 7th 2021, v2

MSc Reward Management Introductory Talk

From  Brian Main 0 likes 73 plays 0  

Topic 17: Conditional Probability and Bayes Rule (PETARS, Chapter 3)

This slightly longer than usual video covers conditional probability and gives some examples that are initially counter-intuitive. Bayes theorem is then developed from conditional probability,…

From  James Hopgood 0 likes 228 plays 0  

30b

Markov Decision Processes: Computing Optimal Policies

From  Alex Lascarides 0 likes 202 plays 0  

30a

Markov Decision Processes: Representation

From  Alex Lascarides 0 likes 211 plays 0  

30c

AI and Ethics

From  Alex Lascarides 0 likes 137 plays 0