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Risk-Constrained Reinforcement Learning with Percentile Risk Criteria

Risk-Constrained Reinforcement Learning with Percentile Risk Criteria

5 December 2015
Yinlam Chow
Mohammad Ghavamzadeh
Lucas Janson
Marco Pavone
ArXivPDFHTML

Papers citing "Risk-Constrained Reinforcement Learning with Percentile Risk Criteria"

14 / 14 papers shown
Title
Risk-sensitive Reinforcement Learning Based on Convex Scoring Functions
Risk-sensitive Reinforcement Learning Based on Convex Scoring Functions
Shanyu Han
Yang Liu
Xiang Yu
55
0
0
07 May 2025
Return Capping: Sample-Efficient CVaR Policy Gradient Optimisation
Return Capping: Sample-Efficient CVaR Policy Gradient Optimisation
Harry Mead
Clarissa Costen
Bruno Lacerda
Nick Hawes
79
0
0
29 Apr 2025
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments
Yun Qu
Wenjie Wang
Yixiu Mao
Yiqin Lv
Xiangyang Ji
TTA
112
0
0
27 Apr 2025
TraCeS: Trajectory Based Credit Assignment From Sparse Safety Feedback
TraCeS: Trajectory Based Credit Assignment From Sparse Safety Feedback
Siow Meng Low
Akshat Kumar
65
0
0
17 Apr 2025
Risk-Aware Reinforcement Learning for Autonomous Driving: Improving Safety When Driving through Intersection
Risk-Aware Reinforcement Learning for Autonomous Driving: Improving Safety When Driving through Intersection
Bo Leng
Ran Yu
Wei Han
Lu Xiong
Zhuoren Li
Hailong Huang
74
1
0
25 Mar 2025
Policy Gradient Methods for Risk-Sensitive Distributional Reinforcement Learning with Provable Convergence
Policy Gradient Methods for Risk-Sensitive Distributional Reinforcement Learning with Provable Convergence
Minheng Xiao
Xian Yu
Lei Ying
54
2
0
23 May 2024
Semantic-Aware Remote Estimation of Multiple Markov Sources Under Constraints
Semantic-Aware Remote Estimation of Multiple Markov Sources Under Constraints
Jiping Luo
Nikolaos Pappas
73
7
0
25 Mar 2024
Adaptive Sampling for Stochastic Risk-Averse Learning
Adaptive Sampling for Stochastic Risk-Averse Learning
Sebastian Curi
Kfir Y. Levy
Stefanie Jegelka
Andreas Krause
64
53
0
28 Oct 2019
Algorithms for CVaR Optimization in MDPs
Algorithms for CVaR Optimization in MDPs
Yinlam Chow
Mohammad Ghavamzadeh
60
198
0
12 Jun 2014
Variance Adjusted Actor Critic Algorithms
Variance Adjusted Actor Critic Algorithms
Aviv Tamar
Shie Mannor
OffRL
43
43
0
14 Oct 2013
An MDP-based Recommender System
An MDP-based Recommender System
Guy Shani
Ronen I. Brafman
David Heckerman
LRM
67
968
0
12 Dec 2012
An Approximate Solution Method for Large Risk-Averse Markov Decision
  Processes
An Approximate Solution Method for Large Risk-Averse Markov Decision Processes
Marek Petrik
D. Subramanian
32
32
0
16 Oct 2012
Policy Gradients with Variance Related Risk Criteria
Policy Gradients with Variance Related Risk Criteria
Dotan Di Castro
Aviv Tamar
Shie Mannor
68
206
0
27 Jun 2012
Infinite-Horizon Policy-Gradient Estimation
Infinite-Horizon Policy-Gradient Estimation
Jonathan Baxter
Peter L. Bartlett
70
808
0
03 Jun 2011
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