362 citations · 474 across the 19 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2026
Visualizing Uncertainty: Spatial Maps of Missing and Conflicting Evidence in Deep Learning
Dong Hyun Jeong, Feng Chen, Jin-Hee Cho +3
Understanding when and why deep neural networks are uncertain is crucial for deploying reliable machine learning systems in safety-critical domains. While existing uncertainty quan…
cs.LG2022
PPO-UE: Proximal Policy Optimization via Uncertainty-Aware Exploration
Qisheng Zhang, Zhen Guo, Audun Jøsang +4
Proximal Policy Optimization (PPO) is a highly popular policy-based deep reinforcement learning (DRL) approach. However, we observe that the homogeneous exploration process in PPO…
cs.LG2020★ 6 cited
Using Subjective Logic to Estimate Uncertainty in Multi-Armed Bandit Problems
Fabio Massimo Zennaro, Audun Jøsang
The multi-armed bandit problem is a classical decision-making problem where an agent has to learn an optimal action balancing exploration and exploitation. Properly managing this t…