Constrained Policy Optimization

30 May 2017

Pieter Abbeel

Papers citing "Constrained Policy Optimization"

50 / 303 papers shown

Title
Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey Zefang Zong Tao Feng Tong Xia Depeng Jin Yong Li 27 3 0 10 Aug 2021
Risk Conditioned Neural Motion Planning Xin Huang Meng Feng A. Jasour Guy Rosman B. Williams 27 6 0 04 Aug 2021
Lyapunov-based uncertainty-aware safe reinforcement learning Ashkan B. Jeddi Nariman L. Dehghani A. Shafieezadeh 16 7 0 29 Jul 2021
Constraints Penalized Q-learning for Safe Offline Reinforcement Learning Haoran Xu Xianyuan Zhan Xiangyu Zhu OffRL 16 86 0 19 Jul 2021
Stabilizing Neural Control Using Self-Learned Almost Lyapunov Critics Ya-Chien Chang Sicun Gao 18 57 0 11 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research J. Luis E. Crawley B. Cameron OffRL 25 6 0 07 Jul 2021
Safe Reinforcement Learning Using Advantage-Based Intervention Nolan Wagener Byron Boots Ching-An Cheng 34 52 0 16 Jun 2021
Offline RL Without Off-Policy Evaluation David Brandfonbrener William F. Whitney Rajesh Ranganath Joan Bruna OffRL 42 162 0 16 Jun 2021
On-Policy Deep Reinforcement Learning for the Average-Reward Criterion Yiming Zhang Keith Ross OffRL 41 41 0 14 Jun 2021
Hard Choices in Artificial Intelligence Roel Dobbe T. Gilbert Yonatan Dov Mintz 29 52 0 10 Jun 2021
Average-Reward Reinforcement Learning with Trust Region Methods Xiaoteng Ma Xiao-Jing Tang Li Xia Jun Yang Qianchuan Zhao 24 16 0 07 Jun 2021
Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs Tao-Wen Liu Ruida Zhou D. Kalathil P. R. Kumar Chao Tian 42 78 0 04 Jun 2021
A Provably-Efficient Model-Free Algorithm for Constrained Markov Decision Processes Honghao Wei Xin Liu Lei Ying 29 21 0 03 Jun 2021
Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety Haitong Ma Yang Guan Shegnbo Eben Li Xiangteng Zhang Sifa Zheng Jianyu Chen 43 37 0 22 May 2021
Scalable Synthesis of Verified Controllers in Deep Reinforcement Learning Zikang Xiong Suresh Jagannathan 32 6 0 20 Apr 2021
Lyapunov Barrier Policy Optimization Harshit S. Sikchi Wenxuan Zhou David Held 34 14 0 16 Mar 2021
Maximum Entropy RL (Provably) Solves Some Robust RL Problems Benjamin Eysenbach Sergey Levine OOD 50 176 0 10 Mar 2021
Learning Collision-free and Torque-limited Robot Trajectories based on Alternative Safe Behaviors Jonas C. Kiemel Torsten Kröger 19 8 0 05 Mar 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 32 14 0 22 Feb 2021
Provably Correct Training of Neural Network Controllers Using Reachability Analysis Xiaowu Sun Yasser Shoukry 22 7 0 22 Feb 2021
Separated Proportional-Integral Lagrangian for Chance Constrained Reinforcement Learning Baiyu Peng Yao Mu Jingliang Duan Yang Guan Shengbo Eben Li Jianyu Chen 53 19 0 17 Feb 2021
Optimization Issues in KL-Constrained Approximate Policy Iteration N. Lazić Botao Hao Yasin Abbasi-Yadkori Dale Schuurmans Csaba Szepesvári 19 10 0 11 Feb 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned Julian Ibarz Jie Tan Chelsea Finn Mrinal Kalakrishnan P. Pastor Sergey Levine OffRL 16 520 0 04 Feb 2021
Context-Aware Safe Reinforcement Learning for Non-Stationary Environments Baiming Chen Zuxin Liu Jiacheng Zhu Mengdi Xu Wenhao Ding Ding Zhao 25 35 0 02 Jan 2021
Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach James Queeney I. Paschalidis Christos G. Cassandras 31 9 0 19 Dec 2020
Inverse Constrained Reinforcement Learning Usman Anwar Shehryar Malik Alireza Aghasi Ali Ahmed 18 58 0 19 Nov 2020
Enforcing robust control guarantees within neural network policies P. Donti Melrose Roderick Mahyar Fazlyab J. Zico Kolter OOD 19 61 0 16 Nov 2020
CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee Tengyu Xu Yingbin Liang Guanghui Lan 52 122 0 11 Nov 2020
Learning Robot Trajectories subject to Kinematic Joint Constraints Jonas C. Kiemel Torsten Kröger 25 7 0 01 Nov 2020
Learning to be Safe: Deep RL with a Safety Critic K. Srinivasan Benjamin Eysenbach Sehoon Ha Jie Tan Chelsea Finn OffRL 38 143 0 27 Oct 2020
OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning Anurag Ajay Aviral Kumar Pulkit Agrawal Sergey Levine Ofir Nachum OffRL OnRL 39 155 0 26 Oct 2020
Towards Safe Policy Improvement for Non-Stationary MDPs Yash Chandak Scott M. Jordan Georgios Theocharous Martha White Philip S. Thomas OffRL 71 33 0 23 Oct 2020
Robust Constrained Reinforcement Learning for Continuous Control with Model Misspecification D. Mankowitz D. A. Calian Rae Jeong Cosmin Paduraru N. Heess Sumanth Dathathri Martin Riedmiller Timothy A. Mann 24 12 0 20 Oct 2020
Deep Reinforcement Learning for Closed-Loop Blood Glucose Control Ian Fox Joyce M. Lee R. Pop-Busui Jenna Wiens BDL OffRL 30 50 0 18 Sep 2020
Constrained Markov Decision Processes via Backward Value Functions Harsh Satija P. Amortila Joelle Pineau 40 51 0 26 Aug 2020
Learning Off-Policy with Online Planning Harshit S. Sikchi Wenxuan Zhou David Held OffRL 37 46 0 23 Aug 2020
Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions James McInerney B. Brost Praveen Chandar Rishabh Mehrotra Ben Carterette BDL CML OffRL 121 55 0 25 Jul 2020
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods Adam Stooke Joshua Achiam Pieter Abbeel 31 287 0 08 Jul 2020
Variational Policy Gradient Method for Reinforcement Learning with General Utilities Junyu Zhang Alec Koppel Amrit Singh Bedi Csaba Szepesvári Mengdi Wang 27 138 0 04 Jul 2020
Online 3D Bin Packing with Constrained Deep Reinforcement Learning Hang Zhao Qijin She Chenyang Zhu Yifan Yang Kai Xu OffRL 21 120 0 26 Jun 2020
Safe Reinforcement Learning via Curriculum Induction M. Turchetta Andrey Kolobov S. Shah Andreas Krause Alekh Agarwal 23 91 0 22 Jun 2020
Reparameterized Variational Divergence Minimization for Stable Imitation Dilip Arumugam Debadeepta Dey Alekh Agarwal Asli Celikyilmaz E. Nouri W. Dolan 33 3 0 18 Jun 2020
SAMBA: Safe Model-Based & Active Reinforcement Learning Alexander I. Cowen-Rivers Daniel Palenicek Vincent Moens Mohammed Abdullah Aivar Sootla Jun Wang Haitham Bou-Ammar 23 44 0 12 Jun 2020
Avoiding Side Effects in Complex Environments Alexander Matt Turner Neale Ratzlaff Prasad Tadepalli 30 34 0 11 Jun 2020
Probably Approximately Correct Constrained Learning Luiz F. O. Chamon Alejandro Ribeiro 22 38 0 09 Jun 2020
AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles Sicong Liu Junzhao Du Kaiming Nan Zimu Zhou Zhangyang Wang Yingyan Lin 32 30 0 08 Jun 2020
Novel Policy Seeking with Constrained Optimization Hao Sun Zhenghao Peng Bo Dai Jian Guo Dahua Lin Bolei Zhou 24 13 0 21 May 2020
A Distributional View on Multi-Objective Policy Optimization A. Abdolmaleki Sandy H. Huang Leonard Hasenclever Michael Neunert H. F. Song Martina Zambelli M. Martins N. Heess R. Hadsell Martin Riedmiller 26 74 0 15 May 2020
Robotic Arm Control and Task Training through Deep Reinforcement Learning Andrea Franceschetti E. Tosello Nicola Castaman Stefano Ghidoni 12 32 0 06 May 2020
An empirical investigation of the challenges of real-world reinforcement learning Gabriel Dulac-Arnold Nir Levine D. Mankowitz Jerry Li Cosmin Paduraru Sven Gowal Todd Hester OffRL 34 121 0 24 Mar 2020