Search Results for author: Jonathan J Hunt

Found 6 papers, 1 papers with code

Hyperbolic Deep Reinforcement Learning

no code implementations4 Oct 2022 Edoardo Cetin, Benjamin Chamberlain, Michael Bronstein, Jonathan J Hunt

We propose a new class of deep reinforcement learning (RL) algorithms that model latent representations in hyperbolic space.

Decision Making reinforcement-learning +1

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

3 code implementations12 Aug 2022 Zhendong Wang, Jonathan J Hunt, Mingyuan Zhou

In our approach, we learn an action-value function and we add a term maximizing action-values into the training loss of the conditional diffusion model, which results in a loss that seeks optimal actions that are near the behavior policy.

D4RL Offline RL +3

Challenges and approaches to privacy preserving post-click conversion prediction

no code implementations29 Jan 2022 Conor O'Brien, Arvind Thiagarajan, Sourav Das, Rafael Barreto, Chetan Verma, Tim Hsu, James Neufield, Jonathan J Hunt

In this paper we outline the recent privacy-related changes in the online advertising ecosystem from a machine learning perspective.

Privacy Preserving

An Analysis Of Entire Space Multi-Task Models For Post-Click Conversion Prediction

no code implementations18 Aug 2021 Conor O'Brien, Kin Sum Liu, James Neufeld, Rafael Barreto, Jonathan J Hunt

Industrial recommender systems are frequently tasked with approximating probabilities for multiple, often closely related, user actions.

Multi-Task Learning Recommendation Systems

Cannot find the paper you are looking for? You can Submit a new open access paper.