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Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation

14 February 2022

Aivar Sootla

Alexander I. Cowen-Rivers

Jun Wang

Papers citing "Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation"

35 / 35 papers shown

Title
SoNIC: Safe Social Navigation with Adaptive Conformal Inference and Constrained Reinforcement Learning Jianpeng Yao Xiaopan Zhang Yu Xia Zejin Wang Amit K. Roy-Chowdhury Jiachen Li 230 2 0 24 Jul 2024
Safe Active Learning for Time-Series Modeling with Gaussian Processes Christoph Zimmer Mona Meister D. Nguyen-Tuong AI4TS 75 52 0 09 Feb 2024
DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Intervention D. Mguni Usman Islam Taher Jafferjee Xiuling Zhang Joel Jennings Aivar Sootla Changmin Yu Ziyan Wang Jun Wang Yaodong Yang OffRL 78 7 0 27 Oct 2021
MBRL-Lib: A Modular Library for Model-based Reinforcement Learning Luis Pineda Brandon Amos Amy Zhang Nathan Lambert Roberto Calandra OffRL 80 47 0 20 Apr 2021
State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning with Rewards Miguel Calvo-Fullana Santiago Paternain Luiz F. O. Chamon Alejandro Ribeiro OffRL 68 34 0 23 Feb 2021
Conservative Safety Critics for Exploration Homanga Bharadhwaj Aviral Kumar Nicholas Rhinehart Sergey Levine Florian Shkurti Animesh Garg OffRL 92 139 0 27 Oct 2020
Projection-Based Constrained Policy Optimization Tsung-Yen Yang Justinian P. Rosca Karthik Narasimhan Peter J. Ramadge 43 243 0 07 Oct 2020
SafePILCO: a software tool for safe and data-efficient policy synthesis Kyriakos Polymenakos Nikitas Rontsis Alessandro Abate Stephen J. Roberts 65 6 0 07 Aug 2020
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods Adam Stooke Joshua Achiam Pieter Abbeel 89 300 0 08 Jul 2020
Safe Reinforcement Learning via Curriculum Induction M. Turchetta Andrey Kolobov S. Shah Andreas Krause Alekh Agarwal 47 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
Dream to Control: Learning Behaviors by Latent Imagination Danijar Hafner Timothy Lillicrap Jimmy Ba Mohammad Norouzi VLM 140 1,374 0 03 Dec 2019
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model Alex X. Lee Anusha Nagabandi Pieter Abbeel Sergey Levine OffRL BDL 91 382 0 01 Jul 2019
When to Trust Your Model: Model-Based Policy Optimization Michael Janner Justin Fu Marvin Zhang Sergey Levine OffRL 113 957 0 19 Jun 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 85 624 0 21 Mar 2019
Lyapunov-based Safe Policy Optimization for Continuous Control Yinlam Chow Ofir Nachum Aleksandra Faust Edgar A. Duénez-Guzmán Mohammad Ghavamzadeh 89 247 0 28 Jan 2019
Safely Learning to Control the Constrained Linear Quadratic Regulator Sarah Dean Stephen Tu Nikolai Matni Benjamin Recht 70 139 0 26 Sep 2018
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models Kurtland Chua Roberto Calandra R. McAllister Sergey Levine BDL 230 1,284 0 30 May 2018
A Lyapunov-based Approach to Safe Reinforcement Learning Yinlam Chow Ofir Nachum Edgar A. Duénez-Guzmán Mohammad Ghavamzadeh 165 508 0 20 May 2018
Learning-based Model Predictive Control for Safe Exploration Torsten Koller Felix Berkenkamp M. Turchetta Andreas Krause 68 382 0 22 Mar 2018
Simple random search provides a competitive approach to reinforcement learning Horia Mania Aurelia Guy Benjamin Recht 64 316 0 19 Mar 2018
Barrier-Certified Adaptive Reinforcement Learning with Applications to Brushbot Navigation Motoya Ohnishi Li Wang Gennaro Notomista M. Egerstedt 63 69 0 29 Jan 2018
Safe Exploration in Continuous Action Spaces Gal Dalal Krishnamurthy Dvijotham Matej Vecerík Todd Hester Cosmin Paduraru Yuval Tassa 53 443 0 26 Jan 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 317 8,432 0 04 Jan 2018
Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning Benjamin Eysenbach S. Gu Julian Ibarz Sergey Levine CLL 66 139 0 18 Nov 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 580 19,315 0 20 Jul 2017
Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control Sanket Kamthe M. Deisenroth 160 218 0 20 Jun 2017
Constrained Policy Optimization Joshua Achiam David Held Aviv Tamar Pieter Abbeel 134 1,335 0 30 May 2017
Safe Model-based Reinforcement Learning with Stability Guarantees Felix Berkenkamp M. Turchetta Angela P. Schoellig Andreas Krause 195 854 0 23 May 2017
A General Safety Framework for Learning-Based Control in Uncertain Robotic Systems J. F. Fisac Anayo K. Akametalu Melanie Zeilinger Shahab Kaynama J. Gillula Claire Tomlin 70 498 0 03 May 2017
Safe Exploration in Finite Markov Decision Processes with Gaussian Processes M. Turchetta Felix Berkenkamp Andreas Krause 89 189 0 15 Jun 2016
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 225 5,087 0 05 Jun 2016
Risk-Constrained Reinforcement Learning with Percentile Risk Criteria Yinlam Chow Mohammad Ghavamzadeh Lucas Janson Marco Pavone 93 517 0 05 Dec 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 283 6,807 0 19 Feb 2015
Optimizing the CVaR via Sampling Aviv Tamar Yonatan Glassner Shie Mannor 94 186 0 15 Apr 2014