Speakers
Francis Bach
PSL Research University
Paris
Variational Dynamic Programming for Stochastic Optimal Control
Dimitri Bertsekas
Arizona State University & Massachusetts Institute of Technology
Computer Chess with Model Predictive Control and Reinforcement Learning
Shie Mannor
Department of Electrical Engineering, Technion
Israel
Reinforcement Learning with Exogenous Uncertainty
Martha White
University of Alberta
Canada
Better Experiments in Reinforcement Learning
Vaneet Aggarwal
Purdue University
West Lafayette
Reinforcement Learning with Human Feedback: A Bilevel Approach to Alignment
Konstantin Avrachenkov
INRIA
Lagrangian Index Policy for Restless Bandits with Average Reward
Chandrajit Bajaj
The University of Texas
Austin
Global Search and Discovery with Progressive Physics Agents
Vivek Borkar
Indian Institute of Technology
Bombay
Reinforcement learning in non-markovian environments
Mohammad Ghavamzadeh
Senior Principal Scientist at Amazon AGI
Entropic Risk Optimization in Discounted MDPs
Avishek Ghosh
IIT Bombay
Structured Multi Agent Multi-Armed-Bandits
Aditya Gopalan
ECE
IISc
Towards Reliable Alignment: Uncertainty-aware RLHF
Ashish Hota
IIT Kharagpur
Fixed-Time Convergent Gradient Flows and Fast Evasion of Non-Degenerate Saddle Points
Prashanth L.A
Indian Institute of Technology
Madras
Reinforcement Learning and Bandit Algorithms for Distortion Riskmetrics
Shishir Kolathaya
IISc
Bangalore
Legged Robots: From Model Predictive Control to Reinforcement Learning
Aritra Mitra
Department of Electrical and Computer Engineering
North Carolina State University
Towards a Finite-Time Theory for Robust Reinforcement Learning in Harsh Environments
Prasad Savadi
Director - Data Science, Walmart
Bangalore
Data Freshness
Karthikeyan Shanmugam
Google Deepmind India
Bangalore
Online Bidding under RoS Constraints without knowing the value
Aviv Tamar
Associate Professor at Technion ECE
Israel
Sense-Plan-Act in the age of Deep Learning
M. Vidyasagar
Indian Institute of Technology Hyderabad
A Tutorial Introduction to the Theory of Reinforcement Learning
Lakshmi Mandal, Prakrut P. Kotecha, Aditya Shirwatkar, Vamshi K. Kurva
Indian Institute of Science
RL in simulations and robotics
