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Uncertainty Quantification and Exploration for Reinforcement Learning
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Uncertainty Quantification and Exploration for Reinforcement Learning

Yi Zhu
Jing Dong
Henry Lam
ArXiv (abs)PDFHTML

Papers citing "Uncertainty Quantification and Exploration for Reinforcement Learning"

4 / 4 papers shown
Central Limit Theorems for Transition Probabilities of Controlled Markov Chains
Central Limit Theorems for Transition Probabilities of Controlled Markov Chains
Ziwei Su
Imon Banerjee
Diego Klabjan
OffRL
169
0
0
02 Aug 2025
VERIRAG: A Post-Retrieval Auditing of Scientific Study Summaries
VERIRAG: A Post-Retrieval Auditing of Scientific Study Summaries
Shubham Mohole
Hongjun Choi
Shusen Liu
Christine Klymko
Shashank Kushwaha
Derek Shi
W. Sakla
Sainyam Galhotra
Ruben Glatt
100
0
0
23 Jul 2025
Advancing Investment Frontiers: Industry-grade Deep Reinforcement Learning for Portfolio Optimization
Advancing Investment Frontiers: Industry-grade Deep Reinforcement Learning for Portfolio Optimization
Philip Ndikum
Serge Ndikum
273
8
0
27 Feb 2024
Estimation and Inference in Distributional Reinforcement Learning
Estimation and Inference in Distributional Reinforcement Learning
Liangyu Zhang
Yang Peng
Jiadong Liang
Wenhao Yang
Zhihua Zhang
OffRL
172
4
0
29 Sep 2023