Constrained Policy Optimization

30 May 2017

Pieter Abbeel

Papers citing "Constrained Policy Optimization"

50 / 304 papers shown

Title
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations Huan Zhang Hongge Chen Chaowei Xiao Bo Li Mingyan D. Liu Duane S. Boning Cho-Jui Hsieh AAML 47 261 0 19 Mar 2020
Stable Policy Optimization via Off-Policy Divergence Regularization Ahmed Touati Amy Zhang Joelle Pineau Pascal Vincent OffRL 36 17 0 09 Mar 2020
Exploration-Exploitation in Constrained MDPs Yonathan Efroni Shie Mannor Matteo Pirotta 33 171 0 04 Mar 2020
Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization Lu Wen Jingliang Duan Shengbo Eben Li Shaobing Xu H. Peng 27 68 0 03 Mar 2020
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization Dongsheng Ding Xiaohan Wei Zhuoran Yang Zhaoran Wang M. Jovanović 25 159 0 01 Mar 2020
Learning in Markov Decision Processes under Constraints Rahul Singh Abhishek Gupta Ness B. Shroff 51 27 0 27 Feb 2020
Guided Constrained Policy Optimization for Dynamic Quadrupedal Robot Locomotion Siddhant Gangapurwala Alexander L. Mitchell Ioannis Havoutis 27 54 0 22 Feb 2020
Learning to Walk in the Real World with Minimal Human Effort Sehoon Ha P. Xu Zhenyu Tan Sergey Levine Jie Tan 29 169 0 20 Feb 2020
Reward-Free Exploration for Reinforcement Learning Chi Jin A. Krishnamurthy Max Simchowitz Tiancheng Yu OffRL 112 194 0 07 Feb 2020
Constrained Upper Confidence Reinforcement Learning Liyuan Zheng Lillian J. Ratliff 36 67 0 26 Jan 2020
Safety Considerations in Deep Control Policies with Safety Barrier Certificates Under Uncertainty Tom Hirshberg Sai H. Vemprala Ashish Kapoor 31 3 0 22 Jan 2020
Adaptive dynamic programming for nonaffine nonlinear optimal control problem with state constraints Jingliang Duan Zhengyu Liu Shengbo Eben Li Qi Sun Zhenzhong Jia B. Cheng 23 64 0 26 Nov 2019
Convergent Policy Optimization for Safe Reinforcement Learning Ming Yu Zhuoran Yang Mladen Kolar Zhaoran Wang 16 91 0 26 Oct 2019
Faster and Safer Training by Embedding High-Level Knowledge into Deep Reinforcement Learning Haodi Zhang Zihang Gao Yi Zhou Haotong Zhang Kaishun Wu Fangzhen Lin AI4CE 27 17 0 22 Oct 2019
IPO: Interior-point Policy Optimization under Constraints Yongshuai Liu J. Ding Xin Liu 24 176 0 21 Oct 2019
$Policy Optimization for $\mathcal{H}_2$ Linear Control with $\mathcal{H}_\infty$ Robustness Guarantee: Implicit Regularization and Global Convergence$ Policy Optimization for $\mathcal{H}_2$ Linear Control with $\mathcal{H}_\infty$ Robustness Guarantee: Implicit Regularization and Global Convergence Kaipeng Zhang Bin Hu Tamer Basar 24 119 0 21 Oct 2019
Deep Reinforcement Learning Algorithm for Dynamic Pricing of Express Lanes with Multiple Access Locations Venktesh Pandey Evana Wang S. Boyles 19 39 0 10 Sep 2019
Linear Stochastic Bandits Under Safety Constraints Sanae Amani M. Alizadeh Christos Thrampoulidis 33 117 0 16 Aug 2019
Neural Simplex Architecture Dung Phan Radu Grosu N. Jansen Nicola Paoletti S. Smolka Scott D. Stoller 22 61 0 01 Aug 2019
An Information-theoretic On-line Learning Principle for Specialization in Hierarchical Decision-Making Systems Heinke Hihn Sebastian Gottwald Daniel A. Braun 30 16 0 26 Jul 2019
Reinforcement Learning with Convex Constraints Sobhan Miryoosefi Kianté Brantley Hal Daumé Miroslav Dudík Robert Schapire 17 90 0 21 Jun 2019
Actor-Critic Algorithms for Constrained Multi-agent Reinforcement Learning Raghuram Bharadwaj Diddigi Sai Koti Reddy Danda Prabuchandran K.J. S. Bhatnagar 26 18 0 08 May 2019
An Efficient Reachability-Based Framework for Provably Safe Autonomous Navigation in Unknown Environments Andrea V. Bajcsy Somil Bansal Eli Bronstein Varun Tolani Claire Tomlin 17 88 0 01 May 2019
Risk Averse Robust Adversarial Reinforcement Learning Xinlei Pan Daniel Seita Yang Gao John F. Canny AAML 16 96 0 31 Mar 2019
End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks Richard Cheng G. Orosz R. Murray J. W. Burdick 17 607 0 21 Mar 2019
Learning Gentle Object Manipulation with Curiosity-Driven Deep Reinforcement Learning Sandy H. Huang Martina Zambelli Jackie Kay M. Martins Yuval Tassa P. Pilarski R. Hadsell 28 50 0 20 Mar 2019
Adaptive Power System Emergency Control using Deep Reinforcement Learning Qiuhua Huang Renke Huang Weituo Hao Jie Tan Rui Fan Zhenyu Huang 22 270 0 09 Mar 2019
Network Offloading Policies for Cloud Robotics: a Learning-based Approach Sandeep P. Chinchali Apoorva Sharma James Harrison Amine Elhafsi Daniel Kang Evgenya Pergament Eyal Cidon Sachin Katti Marco Pavone OffRL 11 105 0 15 Feb 2019
Value constrained model-free continuous control Steven Bohez A. Abdolmaleki Michael Neunert J. Buchli N. Heess R. Hadsell 24 62 0 12 Feb 2019
Lyapunov-based Safe Policy Optimization for Continuous Control Yinlam Chow Ofir Nachum Aleksandra Faust Edgar A. Duénez-Guzmán Mohammad Ghavamzadeh 33 244 0 28 Jan 2019
Reinforcement Learning of Markov Decision Processes with Peak Constraints Ather Gattami 16 9 0 23 Jan 2019
Learning to Walk via Deep Reinforcement Learning Tuomas Haarnoja Sehoon Ha Aurick Zhou Jie Tan George Tucker Sergey Levine 54 433 0 26 Dec 2018
TD-Regularized Actor-Critic Methods Simone Parisi Voot Tangkaratt Jan Peters Mohammad Emtiyaz Khan OffRL 30 32 0 19 Dec 2018
A predictive safety filter for learning-based control of constrained nonlinear dynamical systems K. P. Wabersich Melanie Zeilinger AI4CE 28 155 0 13 Dec 2018
Top-K Off-Policy Correction for a REINFORCE Recommender System Minmin Chen Alex Beutel Paul Covington Sagar Jain Francois Belletti Ed H. Chi CML OffRL 31 474 0 06 Dec 2018
Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures Junhui Yin Jiayan Qiu Csaba Szepesvári Siqing Zhang Avraham Ruderman Jiyang Xie Krishnamurthy Dvijotham Zhanyu Ma N. Heess Pushmeet Kohli AAML 15 80 0 04 Dec 2018
Deep Reinforcement Learning for Time Optimal Velocity Control using Prior Knowledge G. Hartmann Z. Shiller A. Azaria 25 24 0 28 Nov 2018
Scalable agent alignment via reward modeling: a research direction Jan Leike David M. Krueger Tom Everitt Miljan Martic Vishal Maini Shane Legg 34 397 0 19 Nov 2018
Stability-certified reinforcement learning: A control-theoretic perspective Ming Jin Javad Lavaei 33 85 0 26 Oct 2018
ProMP: Proximal Meta-Policy Search Jonas Rothfuss Dennis Lee I. Clavera Tamim Asfour Pieter Abbeel 35 209 0 16 Oct 2018
Learning Scheduling Algorithms for Data Processing Clusters Hongzi Mao Malte Schwarzkopf S. Venkatakrishnan Zili Meng Mohammad Alizadeh OffRL 20 638 0 03 Oct 2018
Near-Optimal Representation Learning for Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine 33 206 0 02 Oct 2018
Foundations for Restraining Bolts: Reinforcement Learning with LTLf/LDLf restraining specifications Giuseppe De Giacomo Luca Iocchi Marco Favorito F. Patrizi OffRL 37 121 0 17 Jul 2018
Supervised Policy Update for Deep Reinforcement Learning Q. Vuong Yiming Zhang Keith Ross 19 20 0 29 May 2018
A Lyapunov-based Approach to Safe Reinforcement Learning Yinlam Chow Ofir Nachum Edgar A. Duénez-Guzmán Mohammad Ghavamzadeh 21 501 0 20 May 2018
Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Map-less Navigation by Leveraging Prior Demonstrations Mark Pfeiffer Samarth Shukla M. Turchetta Cesar Cadena Andreas Krause Roland Siegwart Juan I. Nieto 27 157 0 18 May 2018
Accelerated Primal-Dual Policy Optimization for Safe Reinforcement Learning Qingkai Liang Fanyu Que E. Modiano 29 101 0 19 Feb 2018
Constraint Estimation and Derivative-Free Recovery for Robot Learning from Demonstrations Jonathan Lee Michael Laskey Roy Fox Ken Goldberg 13 4 0 31 Jan 2018
Barrier-Certified Adaptive Reinforcement Learning with Applications to Brushbot Navigation Motoya Ohnishi Li Wang Gennaro Notomista M. Egerstedt 24 69 0 29 Jan 2018
Safe Exploration in Continuous Action Spaces Gal Dalal Krishnamurthy Dvijotham Matej Vecerík Todd Hester Cosmin Paduraru Yuval Tassa 19 432 0 26 Jan 2018