Videos

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Fokker-Planck-based Inverse Reinforcement Learning — A Physics-Constrained Approach to Markov Decision Process Models of Cell Dynamics Thumbnail

Fokker-Planck-based Inverse Reinforcement Learning — A Physics-Constrained Approach to Markov Decision Process Models of Cell Dynamics

Presenter
  • Krishna Garikipati
May 14, 2024
IMSI
Introductory Workshop: Algorithms, Fairness, and Equity: "Estimating and Controlling for Fairness via Sensitive Attribute Predictors" Thumbnail

Introductory Workshop: Algorithms, Fairness, and Equity: "Estimating and Controlling for Fairness via Sensitive Attribute Predictors"

Presenter
  • Jeremias Sulam
August 30, 2023
SLMath
Data-Driven Hospital Admission Control: A Contextual Learning Approach Thumbnail

Data-Driven Hospital Admission Control: A Contextual Learning Approach

Presenter
  • Cong Shi
April 5, 2023
IMSI
Identifiability in inverse reinforcement learning Thumbnail

Identifiability in inverse reinforcement learning

Presenter
  • Sam Cohen
May 9, 2022
IMSI

Reinforcement learning with factorization

Presenter
  • Devavrat Shah
August 3, 2021
ICERM
Introduction to Query-to-Communication Lifting Thumbnail

Introduction to Query-to-Communication Lifting

Presenter
  • Mika Goos
November 20, 2018
IAS
Numerical Approximations for Minimax Markov Control Problems Thumbnail

Numerical Approximations for Minimax Markov Control Problems

Presenter
  • Tomás Prieto Rumeau
May 9, 2018
IMA
On the strength of comparison queries Thumbnail

On the strength of comparison queries

Presenter
  • Shay Moran
October 24, 2017
IAS
Integrated demand and supply optimization Thumbnail

Integrated demand and supply optimization

Presenter
  • Michel Bierlaire
November 16, 2015
IPAM

Audience and information transfer in ant societies

Presenter
  • Claire Detrain
March 17, 2011
MBI
Accelerated materials innovation using AI/ML and Digital Twins Thumbnail

Accelerated materials innovation using AI/ML and Digital Twins

Presenter
  • Surya Kalidindi
April 24, 2025
IMSI
Model-Free Mean-Field Reinforcement Learning: Mean-Field MDP and Mean-Field Q-Learning Thumbnail

Model-Free Mean-Field Reinforcement Learning: Mean-Field MDP and Mean-Field Q-Learning

Presenter
  • Rene Carmona
May 26, 2022
IMSI