Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability

28 November 2022

Papers citing "Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability"

6 / 6 papers shown

Title
Resource-Efficient Sensor Fusion via System-Wide Dynamic Gated Neural Networks Chetna Singhal Yashuo Wu F. Malandrino Sharon Ladron de Guevara Contreras Marco Levorato C. Chiasserini 16 2 0 22 Oct 2024
A Simple Mixture Policy Parameterization for Improving Sample Efficiency of CVaR Optimization Yudong Luo Yangchen Pan Han Wang Philip H. S. Torr Pascal Poupart 29 3 0 17 Mar 2024
Anytime-Constrained Reinforcement Learning Jeremy McMahan Xiaojin Zhu 23 5 0 09 Nov 2023
Sample-Efficient and Safe Deep Reinforcement Learning via Reset Deep Ensemble Agents Woojun Kim Yongjae Shin Jongeui Park Young-Jin Sung OnRL 16 6 0 31 Oct 2023
Conservative Offline Distributional Reinforcement Learning Yecheng Jason Ma Dinesh Jayaraman Osbert Bastani OffRL 65 78 0 12 Jul 2021
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics Arsenii Kuznetsov Pavel Shvechikov Alexander Grishin Dmitry Vetrov 136 185 0 08 May 2020