3 papers
cs.RO2026
From Language Priors to Field Adaptation: Preference Learning for Traversability Estimation
Simon Schwaiger, David Seyser, Alessandro Scherl +3
Image-based traversability estimation is inherently dependent on the robot platform, deployment domain, and mission preferences, which limits the applicability of purpose-trained m…
cs.LG2026
Search Inspired Exploration in Reinforcement Learning
Georgios Sotirchos, Zlatan Ajanović, Jens Kober
Exploration in environments with sparse rewards remains a fundamental challenge in reinforcement learning (RL). Existing approaches such as curriculum learning and Go-Explore often…
cs.RO2025
LLM-Guided Task- and Affordance-Level Exploration in Reinforcement Learning
Jelle Luijkx, Runyu Ma, Zlatan Ajanović +1
Reinforcement learning (RL) is a promising approach for robotic manipulation, but it can suffer from low sample efficiency and requires extensive exploration of large state-action…