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20222024
most citedUncertainty-Aware Reward-based Deep Reinforcement Learning for Intent Analysis of Social Media Information

3 citations · 3 across the 3 of their papers we have counts for

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cs.LG2024

Decision Theory-Guided Deep Reinforcement Learning for Fast Learning

Zelin Wan, Jin-Hee Cho, Mu Zhu +3

This paper introduces a novel approach, Decision Theory-guided Deep Reinforcement Learning (DT-guided DRL), to address the inherent cold start problem in DRL. By integrating decisi…

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…