Conservative Safety Critics for Exploration

27 October 2020

Homanga Bharadhwaj

Papers citing "Conservative Safety Critics for Exploration"

35 / 35 papers shown

Title
Cooptimizing Safety and Performance with a Control-Constrained Formulation Hao Wang Adityaya Dhande Somil Bansal 26 1 0 10 Sep 2024
Safe Reinforcement Learning in Black-Box Environments via Adaptive Shielding Daniel Bethell Simos Gerasimou R. Calinescu Calum Imrie OffRL OnRL 36 0 0 28 May 2024
Counterexample-Guided Repair of Reinforcement Learning Systems Using Safety Critics David Boetius Stefan Leue 23 0 0 24 May 2024
Preparing for Black Swans: The Antifragility Imperative for Machine Learning Ming Jin 36 2 0 18 May 2024
RACER: Epistemic Risk-Sensitive RL Enables Fast Driving with Fewer Crashes Kyle Stachowicz Sergey Levine 17 6 0 07 May 2024
Conservative Exploration for Policy Optimization via Off-Policy Policy Evaluation Paul Daoudi Mathias Formoso Othman Gaizi Achraf Azize Evrard Garcelon OffRL 26 0 0 24 Dec 2023
TRC: Trust Region Conditional Value at Risk for Safe Reinforcement Learning Dohyeong Kim Songhwai Oh 16 19 0 01 Dec 2023
On the Value of Myopic Behavior in Policy Reuse Kang Xu Chenjia Bai Shuang Qiu Haoran He Bin Zhao Zhen Wang Wei Li Xuelong Li 26 1 0 28 May 2023
C-MCTS: Safe Planning with Monte Carlo Tree Search Dinesh Parthasarathy G. Kontes Axel Plinge Christopher Mutschler 37 3 0 25 May 2023
Safely Learning Dynamical Systems Amir Ali Ahmadi A. Chaudhry Vikas Sindhwani Stephen Tu 25 3 0 20 May 2023
Reinforcement Learning for Safe Robot Control using Control Lyapunov Barrier Functions Desong Du Shao-Fu Han Naiming Qi Haitham Bou-Ammar Jun Wang Wei Pan 29 15 0 16 May 2023
An adaptive safety layer with hard constraints for safe reinforcement learning in multi-energy management systems Glenn Ceusters M. A. Putratama R. Franke Ann Nowé M. Messagie 29 4 0 18 Apr 2023
A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors Shangding Gu Alap Kshirsagar Yali Du Guang Chen Jan Peters Alois C. Knoll 34 14 0 25 Feb 2023
Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees James Queeney E. C. Ozcan I. Paschalidis Christos G. Cassandras OOD OffRL 31 5 0 31 Jan 2023
Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning James Queeney M. Benosman OOD OffRL 33 5 0 30 Jan 2023
Learning to Generate All Feasible Actions Mirco Theile Daniele Bernardini Raphael Trumpp C. Piazza Marco Caccamo Alberto L. Sangiovanni-Vincentelli 29 2 0 26 Jan 2023
ISAACS: Iterative Soft Adversarial Actor-Critic for Safety Kai Hsu D. Nguyen J. F. Fisac 23 30 0 06 Dec 2022
Characterising the Robustness of Reinforcement Learning for Continuous Control using Disturbance Injection Catherine R. Glossop Jacopo Panerati A. Krishnan Zhaocong Yuan Angela P. Schoellig 22 6 0 27 Oct 2022
Sustainable Online Reinforcement Learning for Auto-bidding Zhiyu Mou Yusen Huo Rongquan Bai Mingzhou Xie Chuan Yu Jian Xu Bo Zheng OffRL OnRL 32 15 0 13 Oct 2022
VIMA: General Robot Manipulation with Multimodal Prompts Yunfan Jiang Agrim Gupta Zichen Zhang Guanzhi Wang Yongqiang Dou Yanjun Chen Li Fei-Fei Anima Anandkumar Yuke Zhu Linxi Fan LM&Ro 28 335 0 06 Oct 2022
Constrained Update Projection Approach to Safe Policy Optimization Long Yang Jiaming Ji Juntao Dai Linrui Zhang Binbin Zhou Pengfei Li Yaodong Yang Gang Pan 38 43 0 15 Sep 2022
Reachability Constrained Reinforcement Learning Dongjie Yu Haitong Ma Sheng Li Jianyu Chen 63 54 0 16 May 2022
Safe Reinforcement Learning Using Black-Box Reachability Analysis Mahmoud Selim Amr Alanwar Shreyas Kousik Grace Gao Marco Pavone Karl H. Johansson 29 33 0 15 Apr 2022
How to Learn from Risk: Explicit Risk-Utility Reinforcement Learning for Efficient and Safe Driving Strategies Lukas M. Schmidt Sebastian Rietsch Axel Plinge Bjoern M. Eskofier Christopher Mutschler OffRL 29 5 0 16 Mar 2022
Safe Reinforcement Learning for Legged Locomotion Tsung-Yen Yang Tingnan Zhang Linda Luu Sehoon Ha Jie Tan Wenhao Yu 21 40 0 05 Mar 2022
Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation Aivar Sootla Alexander I. Cowen-Rivers Taher Jafferjee Ziyan Wang D. Mguni Jun Wang Haitham Bou-Ammar 32 54 0 14 Feb 2022
SAFER: Data-Efficient and Safe Reinforcement Learning via Skill Acquisition Dylan Slack Yinlam Chow Bo Dai Nevan Wichers OffRL 21 7 0 10 Feb 2022
SafeAPT: Safe Simulation-to-Real Robot Learning using Diverse Policies Learned in Simulation Rituraj Kaushik Karol Arndt Ville Kyrki 21 8 0 27 Jan 2022
Conservative Distributional Reinforcement Learning with Safety Constraints Hengrui Zhang Youfang Lin Sheng Han Shuo Wang Kai Lv OffRL 21 5 0 18 Jan 2022
Safe Autonomous Racing via Approximate Reachability on Ego-vision Bingqing Chen Jonathan M Francis Jean Oh Eric Nyberg Sylvia L. Herbert 56 14 0 14 Oct 2021
Improving Safety in Deep Reinforcement Learning using Unsupervised Action Planning Hao-Lun Hsu Qiuhua Huang Sehoon Ha OffRL 42 11 0 29 Sep 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain Jianye Hao Tianpei Yang Hongyao Tang Chenjia Bai Jinyi Liu Zhaopeng Meng Peng Liu Zhen Wang OffRL 36 92 0 14 Sep 2021
Safe Reinforcement Learning Using Advantage-Based Intervention Nolan Wagener Byron Boots Ching-An Cheng 29 52 0 16 Jun 2021
GLiDE: Generalizable Quadrupedal Locomotion in Diverse Environments with a Centroidal Model Zhaoming Xie Xingye Da Buck Babich Animesh Garg M. van de Panne 24 66 0 20 Apr 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 340 1,960 0 04 May 2020