Adaptive Aggregation for Safety-Critical Control

7 February 2023

Papers citing "Adaptive Aggregation for Safety-Critical Control"

33 / 33 papers shown

Title
Safe Reinforcement Learning by Imagining the Near Future G. Thomas Yuping Luo Tengyu Ma OffRL 59 85 0 15 Feb 2022
Safe Policy Optimization with Local Generalized Linear Function Approximations Akifumi Wachi Yunyue Wei Yanan Sui OffRL 68 10 0 09 Nov 2021
Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations Yuping Luo Tengyu Ma OffRL 80 44 0 04 Aug 2021
Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile Manipulation Charles Sun Jkedrzej Orbik Coline Devin Brian Yang Abhishek Gupta Glen Berseth Sergey Levine SSL 65 56 0 28 Jul 2021
Reinforcement Learning based Disease Progression Model for Alzheimer's Disease Krishnakant V. Saboo A. Choudhary Yurui Cao G. Worrell David T. Jones Ravishankar Iyer OOD 28 14 0 30 Jun 2021
Safe Reinforcement Learning Using Advantage-Based Intervention Nolan Wagener Byron Boots Ching-An Cheng 110 54 0 16 Jun 2021
Multi-Objective SPIBB: Seldonian Offline Policy Improvement with Safety Constraints in Finite MDPs Harsh Satija Philip S. Thomas Joelle Pineau Romain Laroche OffRL 82 24 0 31 May 2021
Reinforcement Learning for Robust Parameterized Locomotion Control of Bipedal Robots Zhongyu Li Xuxin Cheng Xue Bin Peng Pieter Abbeel Sergey Levine Glen Berseth Koushil Sreenath 91 221 0 26 Mar 2021
Context-Aware Safe Reinforcement Learning for Non-Stationary Environments Baiming Chen Zuxin Liu Jiacheng Zhu Mengdi Xu Wenhao Ding Ding Zhao 54 38 0 02 Jan 2021
Recovery RL: Safe Reinforcement Learning with Learned Recovery Zones Brijen Thananjeyan Ashwin Balakrishna Suraj Nair Michael Luo K. Srinivasan M. Hwang Joseph E. Gonzalez Julian Ibarz Chelsea Finn Ken Goldberg OffRL 80 229 0 29 Oct 2020
Conservative Safety Critics for Exploration Homanga Bharadhwaj Aviral Kumar Nicholas Rhinehart Sergey Levine Florian Shkurti Animesh Garg OffRL 90 139 0 27 Oct 2020
Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings Jesse Zhang Brian Cheung Chelsea Finn Sergey Levine Dinesh Jayaraman 68 60 0 15 Aug 2020
Safety-Critical Model Predictive Control with Discrete-Time Control Barrier Function Jun Zeng Bike Zhang Koushil Sreenath 63 277 0 22 Jul 2020
Safe Reinforcement Learning via Curriculum Induction M. Turchetta Andrey Kolobov S. Shah Andreas Krause Alekh Agarwal 43 93 0 22 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 73 45 0 12 Jun 2020
Exploration-Exploitation in Constrained MDPs Yonathan Efroni Shie Mannor Matteo Pirotta 120 181 0 04 Mar 2020
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences Daniel S. Brown Russell Coleman R. Srinivasan S. Niekum BDL 106 102 0 21 Feb 2020
Safe Policies for Reinforcement Learning via Primal-Dual Methods Santiago Paternain Miguel Calvo-Fullana Luiz F. O. Chamon Alejandro Ribeiro 65 105 0 20 Nov 2019
MULTIPOLAR: Multi-Source Policy Aggregation for Transfer Reinforcement Learning between Diverse Environmental Dynamics M. Barekatain Ryo Yonetani Masashi Hamaya 80 26 0 28 Sep 2019
Deep Dynamics Models for Learning Dexterous Manipulation Anusha Nagabandi K. Konolige Sergey Levine Vikash Kumar 220 417 0 25 Sep 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 79 624 0 21 Mar 2019
Soft Actor-Critic Algorithms and Applications Tuomas Haarnoja Aurick Zhou Kristian Hartikainen George Tucker Sehoon Ha ... Vikash Kumar Henry Zhu Abhishek Gupta Pieter Abbeel Sergey Levine 145 2,450 0 13 Dec 2018
An Introduction to Deep Reinforcement Learning Vincent François-Lavet Peter Henderson Riashat Islam Marc G. Bellemare Joelle Pineau OffRL AI4CE 152 1,263 0 30 Nov 2018
Safe Reinforcement Learning with Model Uncertainty Estimates Björn Lütjens Michael Everett Jonathan P. How 74 169 0 19 Oct 2018
Reward Constrained Policy Optimization Chen Tessler D. Mankowitz Shie Mannor 86 544 0 28 May 2018
A Lyapunov-based Approach to Safe Reinforcement Learning Yinlam Chow Ofir Nachum Edgar A. Duénez-Guzmán Mohammad Ghavamzadeh 163 507 0 20 May 2018
Safe Exploration in Continuous Action Spaces Gal Dalal Krishnamurthy Dvijotham Matej Vecerík Todd Hester Cosmin Paduraru Yuval Tassa 48 442 0 26 Jan 2018
Safe Policy Improvement with Baseline Bootstrapping Romain Laroche P. Trichelair Rémi Tachet des Combes OffRL 66 201 0 19 Dec 2017
Safe Reinforcement Learning via Shielding Mohammed Alshiekh Roderick Bloem Rüdiger Ehlers Bettina Könighofer S. Niekum Ufuk Topcu 82 691 0 29 Aug 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 541 19,265 0 20 Jul 2017
Constrained Policy Optimization Joshua Achiam David Held Aviv Tamar Pieter Abbeel 132 1,331 0 30 May 2017
Attend, Adapt and Transfer: Attentive Deep Architecture for Adaptive Transfer from multiple sources in the same domain Janarthanan Rajendran A. Srinivas Mitesh M. Khapra Prasanna Parthasarathi Balaraman Ravindran 59 52 0 10 Oct 2015
Risk-Sensitive Reinforcement Learning Applied to Control under Constraints Peter Geibel F. Wysotzki 84 319 0 09 Sep 2011