IPO: Interior-point Policy Optimization under Constraints

21 October 2019

Papers citing "IPO: Interior-point Policy Optimization under Constraints"

36 / 36 papers shown

Title
Look Before Leap: Look-Ahead Planning with Uncertainty in Reinforcement Learning Yongshuai Liu Xin Liu 93 1 0 26 Mar 2025
Adventurer: Exploration with BiGAN for Deep Reinforcement Learning Yongshuai Liu Xin Liu GAN 100 2 0 24 Mar 2025
Probabilistic Shielding for Safe Reinforcement Learning Edwin Hamel-De le Court Francesco Belardinelli Alex W. Goodall 39 0 0 09 Mar 2025
Marvel: Accelerating Safe Online Reinforcement Learning with Finetuned Offline Policy Keru Chen Honghao Wei Zhigang Deng Sen Lin OffRL OnRL 91 0 0 31 Dec 2024
A learning-based approach to stochastic optimal control under reach-avoid constraint Tingting Ni Maryam Kamgarpour 80 0 0 21 Dec 2024
GreenLight-Gym: Reinforcement learning benchmark environment for control of greenhouse production systems Bart van Laatum Eldert J. van Henten Sjoerd Boersma OffRL 69 0 0 06 Oct 2024
C-MORL: Multi-Objective Reinforcement Learning through Efficient Discovery of Pareto Front Ruohong Liu Yuxin Pan Linjie Xu Lei Song Jiang Bian Pengcheng You Yize Chen 35 1 0 03 Oct 2024
A Learning Framework for Diverse Legged Robot Locomotion Using Barrier-Based Style Rewards Gijeong Kim Yong-Hoon Lee Hae-Won Park 43 4 0 24 Sep 2024
GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model Zhehua Zhou Xuan Xie Jiayang Song Zhan Shu Lei Ma 47 1 0 06 Jun 2024
Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees Dohyeong Kim Taehyun Cho Seung Han Hojun Chung Kyungjae Lee Songhwai Oh 34 0 0 29 May 2024
Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning Shangding Gu Bilgehan Sel Yuhao Ding Lu Wang Qingwei Lin Alois Knoll Ming Jin 42 1 0 26 May 2024
Constrained Reinforcement Learning Under Model Mismatch Zhongchang Sun Sihong He Fei Miao Shaofeng Zou 42 4 0 02 May 2024
TRC: Trust Region Conditional Value at Risk for Safe Reinforcement Learning Dohyeong Kim Songhwai Oh 9 19 0 01 Dec 2023
Probabilistic Constrained Reinforcement Learning with Formal Interpretability Yanran Wang Qiuchen Qian David E. Boyle 16 4 0 13 Jul 2023
Constrained Reinforcement Learning for Dynamic Material Handling Chengpeng Hu Ziming Wang Jialin Liu J. Wen Bifei Mao Xinghu Yao 19 0 0 23 May 2023
Approximate Shielding of Atari Agents for Safe Exploration Alexander W. Goodall Francesco Belardinelli 21 2 0 21 Apr 2023
A Multiplicative Value Function for Safe and Efficient Reinforcement Learning Nick Bührer Zhejun Zhang Alexander Liniger F. I. F. Richard Yu Luc Van Gool 24 1 0 07 Mar 2023
Efficient Exploration Using Extra Safety Budget in Constrained Policy Optimization Haotian Xu Shengjie Wang Zhaolei Wang Yunzhe Zhang Qing Zhuo Yang Gao Tao Zhang 16 0 0 28 Feb 2023
Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning James Queeney M. Benosman OOD OffRL 33 5 0 30 Jan 2023
Evaluating Model-free Reinforcement Learning toward Safety-critical Tasks Linrui Zhang Q. Zhang Li Shen Bo Yuan Xueqian Wang Dacheng Tao OffRL 35 26 0 12 Dec 2022
Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability Whiyoung Jung Myungsik Cho Jongeui Park Young-Jin Sung 25 4 0 28 Nov 2022
Policy Gradients for Probabilistic Constrained Reinforcement Learning Weiqin Chen D. Subramanian Santiago Paternain 21 6 0 02 Oct 2022
Constrained Update Projection Approach to Safe Policy Optimization Long Yang Jiaming Ji Juntao Dai Linrui Zhang Binbin Zhou Pengfei Li Yaodong Yang Gang Pan 38 42 0 15 Sep 2022
Constrained Reinforcement Learning for Robotics via Scenario-Based Programming Davide Corsi Raz Yerushalmi Guy Amir Alessandro Farinelli D. Harel Guy Katz 24 19 0 20 Jun 2022
Verifying Learning-Based Robotic Navigation Systems Guy Amir Davide Corsi Raz Yerushalmi Luca Marzari D. Harel Alessandro Farinelli Guy Katz 92 37 0 26 May 2022
Penalized Proximal Policy Optimization for Safe Reinforcement Learning Linrui Zhang Li Shen Long Yang Shi-Yong Chen Bo Yuan Xueqian Wang Dacheng Tao 11 62 0 24 May 2022
Road Traffic Law Adaptive Decision-making for Self-Driving Vehicles Jiaxin Liu Wenhui Zhou Hong Wang Zhong Cao Wen-Hui Yu Cheng-Yu Zhao Ding Zhao Diange Yang Jun Li 14 23 0 25 Apr 2022
Learning a Shield from Catastrophic Action Effects: Never Repeat the Same Mistake Shahaf S. Shperberg Bo Liu Peter Stone 34 7 0 19 Feb 2022
CLARA: A Constrained Reinforcement Learning Based Resource Allocation Framework for Network Slicing Yongshuai Liu J. Ding Zhi-Li Zhang Xin Liu 14 19 0 16 Nov 2021
Safe Policy Optimization with Local Generalized Linear Function Approximations Akifumi Wachi Yunyue Wei Yanan Sui OffRL 19 10 0 09 Nov 2021
Escaping from Zero Gradient: Revisiting Action-Constrained Reinforcement Learning via Frank-Wolfe Policy Optimization Jyun-Li Lin Wei-Ting Hung Shangtong Yang Ping-Chun Hsieh Xi Liu 22 14 0 22 Feb 2021
CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee Tengyu Xu Yingbin Liang Guanghui Lan 34 121 0 11 Nov 2020
Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs Aria HasanzadeZonuzy Archana Bura D. Kalathil S. Shakkottai 16 39 0 01 Aug 2020
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods Adam Stooke Joshua Achiam Pieter Abbeel 31 286 0 08 Jul 2020
Learning in Markov Decision Processes under Constraints Rahul Singh Abhishek Gupta Ness B. Shroff 25 27 0 27 Feb 2020
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach Yinlam Chow Aviv Tamar Shie Mannor Marco Pavone 67 310 0 06 Jun 2015