Evaluating Model-free Reinforcement Learning toward Safety-critical Tasks

12 December 2022

Li Shen

Papers citing "Evaluating Model-free Reinforcement Learning toward Safety-critical Tasks"

23 / 23 papers shown

Title
A Graph-Based Reinforcement Learning Approach with Frontier Potential Based Reward for Safe Cluttered Environment Exploration Gabriele Calzolari Vidya Sumathy Christoforos Kanellakis G. Nikolakopoulos 382 0 0 16 Apr 2025
Constrained Update Projection Approach to Safe Policy Optimization Long Yang Jiaming Ji Juntao Dai Linrui Zhang Binbin Zhou Pengfei Li Yaodong Yang Gang Pan 65 45 0 15 Sep 2022
Penalized Proximal Policy Optimization for Safe Reinforcement Learning Linrui Zhang Li Shen Long Yang Shi-Yong Chen Bo Yuan Xueqian Wang Dacheng Tao 60 64 0 24 May 2022
Reachability Constrained Reinforcement Learning Dongjie Yu Haitong Ma Sheng Li Jianyu Chen 86 58 0 16 May 2022
Safe Reinforcement Learning for Legged Locomotion Tsung-Yen Yang Tingnan Zhang Linda Luu Sehoon Ha Jie Tan Wenhao Yu 85 41 0 05 Mar 2022
Safe Autonomous Racing via Approximate Reachability on Ego-vision Bingqing Chen Jonathan M Francis Jean Oh Eric Nyberg Sylvia Herbert 76 14 0 14 Oct 2021
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning Quanyi Li Zhenghao Peng Lan Feng Qihang Zhang Zhenghai Xue Bolei Zhou 81 246 0 26 Sep 2021
safe-control-gym: a Unified Benchmark Suite for Safe Learning-based Control and Reinforcement Learning in Robotics Zhaocong Yuan Adam W. Hall Siqi Zhou Lukas Brunke Melissa Greeff Jacopo Panerati Angela P. Schoellig OffRL 131 54 0 13 Sep 2021
Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety Haitong Ma Yang Guan Shegnbo Eben Li Xiangteng Zhang Sifa Zheng Jianyu Chen 67 37 0 22 May 2021
DC3: A learning method for optimization with hard constraints P. Donti David Rolnick J. Zico Kolter AI4CE 69 191 0 25 Apr 2021
Learn-to-Race: A Multimodal Control Environment for Autonomous Racing James Herman Jonathan M Francis Siddha Ganju Bingqing Chen Anirudh Koul Abhinav Gupta Alexey Skabelkin Ivan Zhukov Max Kumskoy Eric Nyberg 68 35 0 22 Mar 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 70 226 0 29 Oct 2020
Learning to be Safe: Deep RL with a Safety Critic K. Srinivasan Benjamin Eysenbach Sehoon Ha Jie Tan Chelsea Finn OffRL 73 144 0 27 Oct 2020
Projection-Based Constrained Policy Optimization Tsung-Yen Yang Justinian P. Rosca Karthik Narasimhan Peter J. Ramadge 32 239 0 07 Oct 2020
Safe Reinforcement Learning in Constrained Markov Decision Processes Akifumi Wachi Yanan Sui 46 147 0 15 Aug 2020
Learning to Walk in the Real World with Minimal Human Effort Sehoon Ha P. Xu Zhenyu Tan Sergey Levine Jie Tan 63 170 0 20 Feb 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 317 1,671 0 02 Feb 2020
IPO: Interior-point Policy Optimization under Constraints Yongshuai Liu J. Ding Xin Liu 64 181 0 21 Oct 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 68 617 0 21 Mar 2019
Value constrained model-free continuous control Steven Bohez A. Abdolmaleki Michael Neunert J. Buchli N. Heess R. Hadsell 40 62 0 12 Feb 2019
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 169 5,168 0 26 Feb 2018
Safe Exploration in Continuous Action Spaces Gal Dalal Krishnamurthy Dvijotham Matej Vecerík Todd Hester Cosmin Paduraru Yuval Tassa 48 439 0 26 Jan 2018
Constrained Policy Optimization Joshua Achiam David Held Aviv Tamar Pieter Abbeel 108 1,321 0 30 May 2017