research
∙
07/26/2023
Controlling the Latent Space of GANs through Reinforcement Learning: A Case Study on Task-based Image-to-Image Translation
Generative Adversarial Networks (GAN) have emerged as a formidable AI to...
share
research
∙
01/26/2023
Predicting Parameters for Modeling Traffic Participants
Accurately modeling the behavior of traffic participants is essential fo...
research
∙
05/12/2022
Collaborative Multi-agent Stochastic Linear Bandits
We study a collaborative multi-agent stochastic linear bandit setting, w...
research
∙
05/12/2022
Multi-Environment Meta-Learning in Stochastic Linear Bandits
In this work we investigate meta-learning (or learning-to-learn) approac...
research
∙
06/09/2021
Parameter and Feature Selection in Stochastic Linear Bandits
We study two model selection settings in stochastic linear bandits (LB)....
research
∙
09/30/2020
Stage-wise Conservative Linear Bandits
We study stage-wise conservative linear stochastic bandits: an instance ...
research
∙
11/06/2019