9 citations · 21 across the 8 of their papers we have counts for
4 papers · 1 filter
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…
Research Note on Uncertain Probabilities and Abstract Argumentation
Pietro Baroni, Federico Cerutti, Massimiliano Giacomin +2
The sixth assessment of the international panel on climate change (IPCC) states that "cumulative net CO2 emissions over the last decade (2010-2019) are about the same size as the 1…
SOLBP: Second-Order Loopy Belief Propagation for Inference in Uncertain Bayesian Networks
Conrad D. Hougen, Lance M. Kaplan, Magdalena Ivanovska +3
In second-order uncertain Bayesian networks, the conditional probabilities are only known within distributions, i.e., probabilities over probabilities. The delta-method has been ap…
Automatic Concept Extraction for Concept Bottleneck-based Video Classification
Jeya Vikranth Jeyakumar, Luke Dickens, Luis Garcia +7
Recent efforts in interpretable deep learning models have shown that concept-based explanation methods achieve competitive accuracy with standard end-to-end models and enable reaso…