Lyapunov-based Safe Policy Optimization for Continuous Control

Lyapunov-based Safe Policy Optimization for Continuous Control

28 January 2019

Aleksandra Faust

Edgar A. Duénez-Guzmán

Mohammad Ghavamzadeh

Papers citing "Lyapunov-based Safe Policy Optimization for Continuous Control"

11 / 61 papers shown

Title
Constrained Markov Decision Processes via Backward Value Functions Harsh Satija P. Amortila Joelle Pineau 32 51 0 26 Aug 2020
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods Adam Stooke Joshua Achiam Pieter Abbeel 31 287 0 08 Jul 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
ShieldNN: A Provably Safe NN Filter for Unsafe NN Controllers James Ferlez Mahmoud M. Elnaggar Yasser Shoukry C. Fleming AAML 62 33 0 16 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
Exploration-Exploitation in Constrained MDPs Yonathan Efroni Shie Mannor Matteo Pirotta 33 171 0 04 Mar 2020
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization Dongsheng Ding Xiaohan Wei Zhuoran Yang Zhaoran Wang M. Jovanović 20 159 0 01 Mar 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
IPO: Interior-point Policy Optimization under Constraints Yongshuai Liu J. Ding Xin Liu 24 175 0 21 Oct 2019
Rarely-switching linear bandits: optimization of causal effects for the real world B. Lansdell Sofia Triantafillou Konrad Paul Kording 22 4 0 30 May 2019