← Search

Shawn O'Banion

2 accepted papers

2025

RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs

AAAI 2025technical

LLM-powered personalization agent systems employ Large Language Models (LLMs) to predict users’ behavior from their past activities. However, their effectiveness often hinges on the ability to effectively leverage extensive, long user historical data due to its inherent noise and length of such data…

Cited by 2SourcePDFScholar
2024

Massively Scalable Inverse Reinforcement Learning in Google Maps

ICLR 2024spotlight

Inverse reinforcement learning (IRL) offers a powerful and general framework for learning humans' latent preferences in route recommendation, yet no approach has successfully addressed planetary-scale problems with hundreds of millions of states and demonstration trajectories. In this paper, we intr…

Cited by 10SourcePDFScholar