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Return Capping: Sample-Efficient CVaR Policy Gradient Optimisation
29 April 2025
Harry Mead
Clarissa Costen
Bruno Lacerda
Nick Hawes
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Papers citing
"Return Capping: Sample-Efficient CVaR Policy Gradient Optimisation"
22 / 22 papers shown
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Ergodic Risk Measures: Towards a Risk-Aware Foundation for Continual Reinforcement Learning
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Gymnasium: A Standard Interface for Reinforcement Learning Environments
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Jordan Terry
John U. Balis
Gianluca De Cola
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Sander Schulhoff
Jun Jet Tai
Hannah Tan
Omar G. Younis
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24 Jul 2024
A Simple Mixture Policy Parameterization for Improving Sample Efficiency of CVaR Optimization
Yudong Luo
Yangchen Pan
Han Wang
Juil Sock
Pascal Poupart
356
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17 Mar 2024
Learning Risk-Aware Quadrupedal Locomotion using Distributional Reinforcement Learning
IEEE International Conference on Robotics and Automation (ICRA), 2023
Lukas Schneider
Jonas Frey
Takahiro Miki
Marco Hutter
322
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25 Sep 2023
An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient
Neural Information Processing Systems (NeurIPS), 2023
Yudong Luo
Guiliang Liu
Pascal Poupart
Yangchen Pan
363
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17 Jul 2023
Risk-Aware Reward Shaping of Reinforcement Learning Agents for Autonomous Driving
Annual Conference of the IEEE Industrial Electronics Society (IECON), 2023
Linjin Wu
Zengjie Zhang
S. Haesaert
Zhiqiang Ma
Zhiyong Sun
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180
8
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05 Jun 2023
Efficient Risk-Averse Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2022
Ido Greenberg
Yinlam Chow
Mohammad Ghavamzadeh
Shie Mannor
288
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10 May 2022
Risk-Averse Bayes-Adaptive Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2021
Marc Rigter
Bruno Lacerda
Nick Hawes
198
45
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10 Feb 2021
Worst Cases Policy Gradients
Conference on Robot Learning (CoRL), 2019
Yichuan Tang
Jian Zhang
Ruslan Salakhutdinov
169
81
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09 Nov 2019
Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy
AAAI Conference on Artificial Intelligence (AAAI), 2019
Ramtin Keramati
Christoph Dann
Alex Tamkin
Emma Brunskill
320
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05 Nov 2019
Risk Averse Robust Adversarial Reinforcement Learning
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Daniel Seita
Yang Gao
John F. Canny
AAML
152
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31 Mar 2019
Implicit Quantile Networks for Distributional Reinforcement Learning
Will Dabney
Georg Ostrovski
David Silver
Rémi Munos
OffRL
332
621
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14 Jun 2018
A Distributional Perspective on Reinforcement Learning
Marc G. Bellemare
Will Dabney
Rémi Munos
OffRL
304
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21 Jul 2017
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
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Robust Adversarial Reinforcement Learning
Lerrel Pinto
James Davidson
Rahul Sukthankar
Abhinav Gupta
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08 Mar 2017
OpenAI Gym
Greg Brockman
Vicki Cheung
Ludwig Pettersson
Jonas Schneider
John Schulman
Jie Tang
Wojciech Zaremba
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05 Jun 2016
Risk-Constrained Reinforcement Learning with Percentile Risk Criteria
Yinlam Chow
Mohammad Ghavamzadeh
Lucas Janson
Marco Pavone
354
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Contextual Markov Decision Processes
Assaf Hallak
Dotan Di Castro
Shie Mannor
384
286
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08 Feb 2015
Optimizing the CVaR via Sampling
AAAI Conference on Artificial Intelligence (AAAI), 2014
Aviv Tamar
Yonatan Glassner
Shie Mannor
478
203
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15 Apr 2014
Variance-Constrained Actor-Critic Algorithms for Discounted and Average Reward MDPs
Machine-mediated learning (ML), 2014
Prashanth L.A.
Mohammad Ghavamzadeh
271
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25 Mar 2014
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