Charalambos Poullis

Topic

deep reinforcement learning

A collection of 2 issues

Designing Fatigue-Aware VR Interfaces via Biomechanical Models

The paper "Designing Fatigue-Aware VR Interfaces via Biomechanical Models" by Harshitha Voleti and Charalambos Poullis will appear in the ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS), 2026. TL;DR: Mid-air interaction in VR is tiring, and getting ergonomic UI layouts right today means running expensive human-in-the-loop

Tractable Large-Scale Deep Reinforcement Learning

The paper Tractable Large-Scale Deep Reinforcement Learning by Nima Sarang and Charalambos Poullis has been accepted for publication in the Computer Vision and Image Understanding journal. The code is publicly available at https://github.com/nsarang/road-extraction-rl. Some results are shown below. TL;DR: We frame the problem of road