60 citations · 73 across the 5 of their papers we have counts for
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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.AI2022★ 10 cited
A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning
Zhen Guo, Zelin Wan, Qisheng Zhang +7
An in-depth understanding of uncertainty is the first step to making effective decisions under uncertainty. Deep/machine learning (ML/DL) has been hugely leveraged to solve complex…
cs.CL2022★ 60 cited
End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models
Barry Menglong Yao, Aditya Shah, Lichao Sun +2
We propose end-to-end multimodal fact-checking and explanation generation, where the input is a claim and a large collection of web sources, including articles, images, videos, and…