Constrained Policy Optimization

30 May 2017

Pieter Abbeel

Papers citing "Constrained Policy Optimization"

50 / 304 papers shown

Title
Constrained Reinforcement Learning for Dexterous Manipulation A. Jain Jack Kolb Harish Ravichandar 24 2 0 24 Jan 2023
A Policy Optimization Method Towards Optimal-time Stability Shengjie Wang Lan Fengb Xiang Zheng Yu-wen Cao Oluwatosin Oseni Haotian Xu Tao Zhang Yang Gao 39 1 0 02 Jan 2023
Offline Policy Optimization in RL with Variance Regularizaton Riashat Islam Samarth Sinha Homanga Bharadhwaj Samin Yeasar Arnob Zhuoran Yang Animesh Garg Zhaoran Wang Lihong Li Doina Precup OffRL 28 0 0 29 Dec 2022
Don't do it: Safer Reinforcement Learning With Rule-based Guidance Ekaterina Nikonova Cheng Xue Jochen Renz 32 0 0 28 Dec 2022
Evaluating Model-free Reinforcement Learning toward Safety-critical Tasks Linrui Zhang Qin Zhang Li Shen Bo Yuan Xueqian Wang Dacheng Tao OffRL 53 26 0 12 Dec 2022
Constrained Reinforcement Learning via Dissipative Saddle Flow Dynamics Tianqi Zheng Pengcheng You Enrique Mallada 39 3 0 03 Dec 2022
Safe Reinforcement Learning with Probabilistic Control Barrier Functions for Ramp Merging Soumith Udatha Yiwei Lyu John M. Dolan 17 1 0 01 Dec 2022
Relative Sparsity for Medical Decision Problems Samuel J. Weisenthal Sally W. Thurston Ashkan Ertefaie 30 2 0 29 Nov 2022
Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability Whiyoung Jung Myungsik Cho Jongeui Park Young-Jin Sung 38 4 0 28 Nov 2022
Safe Reinforcement Learning using Data-Driven Predictive Control Mahmoud Selim Amr Alanwar M. El-Kharashi Hazem Abbas Karl H. Johansson OffRL 30 3 0 20 Nov 2022
Policy Optimization with Advantage Regularization for Long-Term Fairness in Decision Systems Eric Yang Yu Zhizhen Qin Min Kyung Lee Sicun Gao OffRL 37 15 0 22 Oct 2022
Safe Policy Improvement in Constrained Markov Decision Processes Luigi Berducci Radu Grosu OffRL 36 2 0 20 Oct 2022
Neural ODEs as Feedback Policies for Nonlinear Optimal Control I. O. Sandoval Panagiotis Petsagkourakis Ehecatl Antonio del Rio Chanona 25 9 0 20 Oct 2022
Near-Optimal Multi-Agent Learning for Safe Coverage Control Manish Prajapat M. Turchetta Melanie Zeilinger Andreas Krause 35 14 0 12 Oct 2022
Learning Control Policies for Stochastic Systems with Reach-avoid Guarantees Dorde Zikelic Mathias Lechner T. Henzinger K. Chatterjee 26 22 0 11 Oct 2022
Neurosymbolic Motion and Task Planning for Linear Temporal Logic Tasks Xiaowu Sun Yasser Shoukry 50 11 0 11 Oct 2022
A policy gradient approach for Finite Horizon Constrained Markov Decision Processes Soumyajit Guin S. Bhatnagar 31 8 0 10 Oct 2022
Self-Adaptive Driving in Nonstationary Environments through Conjectural Online Lookahead Adaptation Tao Li Haozhe Lei Quanyan Zhu 28 11 0 06 Oct 2022
Safe Reinforcement Learning From Pixels Using a Stochastic Latent Representation Yannick Hogewind T. D. Simão Tal Kachman N. Jansen 21 10 0 02 Oct 2022
Policy Gradients for Probabilistic Constrained Reinforcement Learning Weiqin Chen D. Subramanian Santiago Paternain 29 6 0 02 Oct 2022
Guiding Safe Exploration with Weakest Preconditions Greg Anderson Swarat Chaudhuri Işıl Dillig 52 6 0 28 Sep 2022
Opportunities and Challenges from Using Animal Videos in Reinforcement Learning for Navigation Vittorio Giammarino James Queeney Lucas C. Carstensen Michael Hasselmo I. Paschalidis OffRL 55 4 0 25 Sep 2022
SAFER: Safe Collision Avoidance using Focused and Efficient Trajectory Search with Reinforcement Learning Mario Srouji Hugues Thomas Yao-Hung Tsai Ali Farhadi Jian Zhang 48 5 0 23 Sep 2022
SCALES: From Fairness Principles to Constrained Decision-Making Sreejith Balakrishnan Jianxin Bi Harold Soh FaML 20 2 0 22 Sep 2022
A Deep Reinforcement Learning-Based Charging Scheduling Approach with Augmented Lagrangian for Electric Vehicle Guibin Chen Xiaoying Shi 27 3 0 20 Sep 2022
A Joint Imitation-Reinforcement Learning Framework for Reduced Baseline Regret Sheelabhadra Dey Sumedh Pendurkar Guni Sharon Josiah P. Hanna 24 10 0 20 Sep 2022
MSVIPER: Improved Policy Distillation for Reinforcement-Learning-Based Robot Navigation Aaron M. Roth Jing Liang Ram D. Sriram Elham Tabassi Tianyi Zhou 34 1 0 19 Sep 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Bo Li Ding Zhao 79 45 0 16 Sep 2022
Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL) Washim Uddin Mondal Vaneet Aggarwal S. Ukkusuri 39 4 0 15 Sep 2022
Multi-Objective Policy Gradients with Topological Constraints K. H. Wray Stas Tiomkin Mykel J. Kochenderfer Pieter Abbeel 37 2 0 15 Sep 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 41 43 0 15 Sep 2022
Law Informs Code: A Legal Informatics Approach to Aligning Artificial Intelligence with Humans John J. Nay ELM AILaw 88 27 0 14 Sep 2022
Formation control with connectivity assurance for missile swarm: a natural co-evolutionary strategy approach Junda Chen 21 0 0 24 Aug 2022
A Risk-Sensitive Approach to Policy Optimization Jared Markowitz Ryan W. Gardner Ashley J. Llorens R. Arora I-J. Wang OffRL 36 6 0 19 Aug 2022
Sample-efficient Safe Learning for Online Nonlinear Control with Control Barrier Functions Wenhao Luo Wen Sun Ashish Kapoor OffRL 48 9 0 29 Jul 2022
Safe Reinforcement Learning via Confidence-Based Filters Sebastian Curi Armin Lederer Sandra Hirche Andreas Krause OffRL 24 4 0 04 Jul 2022
Generalized Policy Improvement Algorithms with Theoretically Supported Sample Reuse James Queeney I. Paschalidis Christos G. Cassandras OffRL 32 2 0 28 Jun 2022
Formalizing the Problem of Side Effect Regularization Alexander Matt Turner Aseem Saxena Prasad Tadepalli 27 2 0 23 Jun 2022
Constrained Reinforcement Learning for Robotics via Scenario-Based Programming Davide Corsi Raz Yerushalmi Guy Amir Alessandro Farinelli D. Harel Guy Katz 31 19 0 20 Jun 2022
Near-Optimal Sample Complexity Bounds for Constrained MDPs Sharan Vaswani Lin F. Yang Csaba Szepesvári 35 32 0 13 Jun 2022
ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor Wanqi Xue Qingpeng Cai Ruohan Zhan Dong Zheng Peng Jiang Kun Gai Bo An OffRL 32 24 0 01 Jun 2022
On the Robustness of Safe Reinforcement Learning under Observational Perturbations Zuxin Liu Zijian Guo Zhepeng Cen Huan Zhang Jie Tan Bo Li Ding Zhao OOD OffRL 48 36 0 29 May 2022
Verifying Learning-Based Robotic Navigation Systems Guy Amir Davide Corsi Raz Yerushalmi Luca Marzari D. Harel Alessandro Farinelli Guy Katz 94 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 18 62 0 24 May 2022
A Review of Safe Reinforcement Learning: Methods, Theory and Applications Shangding Gu Longyu Yang Yali Du Guang Chen Florian Walter Jun Wang Alois C. Knoll OffRL AI4TS 117 241 0 20 May 2022
Reachability Constrained Reinforcement Learning Dongjie Yu Haitong Ma Sheng Li Jianyu Chen 63 55 0 16 May 2022
Provably Safe Deep Reinforcement Learning for Robotic Manipulation in Human Environments Jakob Thumm Matthias Althoff 58 34 0 12 May 2022
Aligning to Social Norms and Values in Interactive Narratives Prithviraj Ammanabrolu Liwei Jiang Maarten Sap Hannaneh Hajishirzi Yejin Choi AI4CE 30 47 0 04 May 2022
Adversarial Training for High-Stakes Reliability Daniel M. Ziegler Seraphina Nix Lawrence Chan Tim Bauman Peter Schmidt-Nielsen ... Noa Nabeshima Benjamin Weinstein-Raun D. Haas Buck Shlegeris Nate Thomas AAML 40 59 0 03 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 30 23 0 25 Apr 2022