2 papers
cs.AI2025
Fine-tuning Behavioral Cloning Policies with Preference-Based Reinforcement Learning
Maël Macuglia, Paul Friedrich, Giorgia Ramponi
Deploying reinforcement learning (RL) in robotics, industry, and health care is blocked by two obstacles: the difficulty of specifying accurate rewards and the risk of unsafe, data…
cs.CV2025
Uncertainty modeling for fine-tuned implicit functions
Anna Susmelj, Mael Macuglia, Nataša Tagasovska +4
Implicit functions such as Neural Radiance Fields (NeRFs), occupancy networks, and signed distance functions (SDFs) have become pivotal in computer vision for reconstructing detail…