Responsive Safety in Reinforcement Learning by PID Lagrangian Methods

8 July 2020

Pieter Abbeel

Papers citing "Responsive Safety in Reinforcement Learning by PID Lagrangian Methods"

50 / 187 papers shown

Title
Your Learned Constraint is Secretly a Backward Reachable Tube Mohamad Qadri Gokul Swamy Jonathan Francis Michael Kaess Andrea Bajcsy 29 3 0 20 May 2025
Designing Control Barrier Function via Probabilistic Enumeration for Safe Reinforcement Learning Navigation Luca Marzari Francesco Trotti Enrico Marchesini Alessandro Farinelli 43 0 0 30 Apr 2025
Improvements of Dark Experience Replay and Reservoir Sampling towards Better Balance between Consolidation and Plasticity Taisuke Kobayashi CLL 41 0 0 29 Apr 2025
Depth-Constrained ASV Navigation with Deep RL and Limited Sensing Amirhossein Zhalehmehrabi Daniele Meli Francesco Dal Santo Francesco Trotti Alessandro Farinelli 24 0 0 25 Apr 2025
TraCeS: Trajectory Based Credit Assignment From Sparse Safety Feedback Siow Meng Low Akshat Kumar 45 0 0 17 Apr 2025
Cooper: A Library for Constrained Optimization in Deep Learning Jose Gallego-Posada Juan Ramirez Meraj Hashemizadeh Simon Lacoste-Julien ODL AI4CE 50 0 0 01 Apr 2025
RL2Grid: Benchmarking Reinforcement Learning in Power Grid Operations Enrico Marchesini Benjamin Donnot Constance Crozier Ian Dytham Christian Merz Lars Schewe Nico Westerbeck Cathy Wu Antoine Marot P. Donti OffRL 54 1 0 29 Mar 2025
Risk-Aware Reinforcement Learning for Autonomous Driving: Improving Safety When Driving through Intersection Bo Leng Ran Yu Wei Han Lu Xiong Zhuoren Li Hailong Huang 41 0 0 25 Mar 2025
HASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied Agents Tristan Tomilin Meng Fang Mykola Pechenizkiy 55 0 0 11 Mar 2025
Safe Explicable Policy Search Akkamahadevi Hanni Jonathan Montaño Yu Zhang 48 0 0 10 Mar 2025
Incentivizing Multi-Tenant Split Federated Learning for Foundation Models at the Network Edge Songyuan Li Jia Hu Geyong Min Haojun Huang FedML 154 0 0 06 Mar 2025
Safety Representations for Safer Policy Learning Kaustubh Mani Vincent Mai Charlie Gauthier Annie Chen Samer Nashed Liam Paull 40 0 0 27 Feb 2025
From Text to Trajectory: Exploring Complex Constraint Representation and Decomposition in Safe Reinforcement Learning Pusen Dong Tianchen Zhu Yue Qiu Haoyi Zhou Jianxin Li 78 1 0 24 Feb 2025
CurricuVLM: Towards Safe Autonomous Driving via Personalized Safety-Critical Curriculum Learning with Vision-Language Models Zihao Sheng Zilin Huang Yansong Qu Yue Leng Sruthi Bhavanam Sikai Chen 48 2 0 24 Feb 2025
Reward-Safety Balance in Offline Safe RL via Diffusion Regularization Junyu Guo Zhi Zheng Donghao Ying Ming Jin Shangding Gu C. Spanos Javad Lavaei OffRL 53 0 0 18 Feb 2025
Learning from Active Human Involvement through Proxy Value Propagation Zhenghao Peng Wenjie Mo Chenda Duan Quanyi Li Bolei Zhou 104 14 0 05 Feb 2025
Feasible Learning Juan Ramirez Ignacio Hounie Juan Elenter Jose Gallego-Posada Meraj Hashemizadeh Alejandro Ribeiro Simon Lacoste-Julien 34 0 0 28 Jan 2025
Temporal Logic Specification-Conditioned Decision Transformer for Offline Safe Reinforcement Learning Zijian Guo Weichao Zhou Wenchao Li OffRL 97 2 0 28 Jan 2025
Positive-Unlabeled Constraint Learning for Inferring Nonlinear Continuous Constraints Functions from Expert Demonstrations Márton Karsai A. Billard 41 0 0 17 Jan 2025
Dual-Force: Enhanced Offline Diversity Maximization under Imitation Constraints Pavel Kolev Marin Vlastelica Georg Martius OffRL 31 0 0 08 Jan 2025
Marvel: Accelerating Safe Online Reinforcement Learning with Finetuned Offline Policy Keru Chen Honghao Wei Zhigang Deng Sen Lin OffRL OnRL 91 0 0 31 Dec 2024
Safe Reinforcement Learning using Finite-Horizon Gradient-based Estimation Juntao Dai Yaodong Yang Qian Zheng Gang Pan OffRL 76 2 0 15 Dec 2024
Embedding Safety into RL: A New Take on Trust Region Methods Nikola Milosevic Johannes Müller Nico Scherf 25 1 0 05 Nov 2024
Constrained Optimal Fuel Consumption of HEV:Considering the Observational Perturbation Shuchang Yan Haoran Sun 31 0 0 28 Oct 2024
Adversarial Constrained Policy Optimization: Improving Constrained Reinforcement Learning by Adapting Budgets Jianmina Ma Jingtian Ji Yue Gao 23 0 0 28 Oct 2024
Knowledge Transfer from Simple to Complex: A Safe and Efficient Reinforcement Learning Framework for Autonomous Driving Decision-Making Rongliang Zhou Jiakun Huang Mingjun Li Hepeng Li Haotian Cao Xiaolin Song 24 0 0 18 Oct 2024
ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning Yarden As Bhavya Sukhija Lenart Treven Carmelo Sferrazza Stelian Coros Andreas Krause 25 1 0 12 Oct 2024
Absolute State-wise Constrained Policy Optimization: High-Probability State-wise Constraints Satisfaction Weiye Zhao Feihan Li Yifan Sun Yujie Wang Rui Chen Tianhao Wei Changliu Liu 25 0 0 02 Oct 2024
Autoregressive Policy Optimization for Constrained Allocation Tasks David Winkel Niklas Strauß Maximilian Bernhard Zongyue Li Thomas Seidl Matthias Schubert 25 0 0 27 Sep 2024
Stage-Wise Reward Shaping for Acrobatic Robots: A Constrained Multi-Objective Reinforcement Learning Approach Dohyeong Kim Hyeokjin Kwon Junseok Kim Gunmin Lee Songhwai Oh 31 5 0 24 Sep 2024
Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning J. Gunster Puze Liu Jan Peters Davide Tateo OffRL 23 2 0 18 Sep 2024
An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning Qian Lin Zongkai Liu Danying Mo Chao Yu OffRL 26 1 0 16 Sep 2024
Revisiting Safe Exploration in Safe Reinforcement learning David Eckel Baohe Zhang Joschka Bödecker 39 0 0 02 Sep 2024
Trustworthy Human-AI Collaboration: Reinforcement Learning with Human Feedback and Physics Knowledge for Safe Autonomous Driving Zilin Huang Zihao Sheng Sikai Chen 31 4 0 01 Sep 2024
Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning Piotr Kicki Davide Tateo Puze Liu Jonas Guenster Jan Peters Krzysztof Walas 28 2 0 26 Aug 2024
A Safe Self-evolution Algorithm for Autonomous Driving Based on Data-Driven Risk Quantification Model Shuo Yang Shizhen Li Yanjun Huang Hong Chen 31 0 0 23 Aug 2024
Meta SAC-Lag: Towards Deployable Safe Reinforcement Learning via MetaGradient-based Hyperparameter Tuning Homayoun Honari Amir M. Soufi Enayati Mehran Ghafarian Tamizi H. Najjaran 45 1 0 15 Aug 2024
Exterior Penalty Policy Optimization with Penalty Metric Network under Constraints Shiqing Gao Jiaxin Ding Luoyi Fu Xinbing Wang Cheng Zhou 24 0 0 22 Jul 2024
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning Yi-Fan Yao Zhepeng Cen Wenhao Ding Hao-ming Lin Shiqi Liu Tingnan Zhang Wenhao Yu Ding Zhao OffRL OnRL 51 1 0 19 Jul 2024
Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning Alessandro Montenegro Marco Mussi Matteo Papini Alberto Maria Metelli BDL 38 1 0 15 Jul 2024
$$\mathrm{E^{2}CFD}$: Towards Effective and Efficient Cost Function Design for Safe Reinforcement Learning via Large Language Model$ $\mathrm{E^{2}CFD}$ : Towards Effective and Efficient Cost Function Design for Safe Reinforcement Learning via Large Language Model Zepeng Wang Chao Ma Linjiang Zhou Libing Wu Lei Yang Xiaochuan Shi Guojun Peng OffRL 35 0 0 08 Jul 2024
FOSP: Fine-tuning Offline Safe Policy through World Models Chenyang Cao Yucheng Xin Silang Wu Longxiang He Zichen Yan Junbo Tan Xueqian Wang OffRL 55 0 0 06 Jul 2024
Diffusion Models for Offline Multi-agent Reinforcement Learning with Safety Constraints Jianuo Huang OffRL 27 0 0 30 Jun 2024
A Decision-Making GPT Model Augmented with Entropy Regularization for Autonomous Vehicles Jiaqi Liu Shiyu Fang Xuekai Liu Lulu Guo Peng Hang Jian-jun Sun 26 3 0 20 Jun 2024
e-COP : Episodic Constrained Optimization of Policies Akhil Agnihotri Rahul Jain Deepak Ramachandran Sahil Singla OffRL 35 0 0 13 Jun 2024
Verification-Guided Shielding for Deep Reinforcement Learning Davide Corsi Guy Amir Andoni Rodríguez César Sánchez Guy Katz Roy Fox AAML OffRL 37 9 0 10 Jun 2024
On PI Controllers for Updating Lagrange Multipliers in Constrained Optimization Motahareh Sohrabi Juan Ramirez Tianyue H. Zhang Simon Lacoste-Julien Jose Gallego-Posada 21 3 0 07 Jun 2024
GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model Zhehua Zhou Xuan Xie Jiayang Song Zhan Shu Lei Ma 47 1 0 06 Jun 2024
Aquatic Navigation: A Challenging Benchmark for Deep Reinforcement Learning Davide Corsi Davide Camponogara Alessandro Farinelli OffRL 41 1 0 30 May 2024
Safe Reinforcement Learning in Black-Box Environments via Adaptive Shielding Daniel Bethell Simos Gerasimou R. Calinescu Calum Imrie OffRL OnRL 29 0 0 28 May 2024