Poster · Sydney

Non-Asymptotic Best Policy Identification Guarantees in Online Reinforcement Learning

Name: Non-Asymptotic Best Policy Identification Guarantees in Online Reinforcement Learning
Start: 2026-12-09T10:00:00+11:00
End: 2026-12-09T13:00:00+11:00
Location: Hall 1-4, ICC Sydney

When: Wed 9 Dec 2026, 10:00–13:00 AEDT
Where: Hall 1-4, ICC Sydney
Exhibition Centre, Level 1
Session: Sydney Poster Session 3
Authors: Joseph Lazzaro, Alessio Russo, Aldo Pacchiano
Organisations: Imperial College London, Amazon, Boston University, Massachusetts Institute of Technology, Harvard University
QRS classification: Reinforcement learning, Learning theory

Open in schedule Official page