Inverse Constrained Reinforcement Learning

19 November 2020

Papers citing "Inverse Constrained Reinforcement Learning"

34 / 34 papers shown

Title
TraCeS: Trajectory Based Credit Assignment From Sparse Safety Feedback Siow Meng Low Akshat Kumar 43 0 0 17 Apr 2025
Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning J. Brahmanage Jiajing Ling Akshat Kumar 34 0 0 08 Feb 2025
Positive-Unlabeled Constraint Learning for Inferring Nonlinear Continuous Constraints Functions from Expert Demonstrations Márton Karsai A. Billard 35 0 0 17 Jan 2025
On the Partial Identifiability in Reward Learning: Choosing the Best Reward Filippo Lazzati Alberto Maria Metelli 35 0 0 10 Jan 2025
Noisy Zero-Shot Coordination: Breaking The Common Knowledge Assumption In Zero-Shot Coordination Games Usman Anwar Ashish Pandian Jia Wan David M. Krueger Jakob N. Foerster 34 0 0 07 Nov 2024
Offline Inverse Constrained Reinforcement Learning for Safe-Critical Decision Making in Healthcare Nan Fang Guiliang Liu Wei Gong OffRL 37 0 0 10 Oct 2024
Provably Efficient Exploration in Inverse Constrained Reinforcement Learning Bo Yue Jian Li Guiliang Liu 29 2 0 24 Sep 2024
Situated Instruction Following So Yeon Min Xavi Puig Devendra Singh Chaplot Tsung-Yen Yang Akshara Rai Priyam Parashar Ruslan Salakhutdinov Yonatan Bisk Roozbeh Mottaghi 38 1 0 15 Jul 2024
Safe MPC Alignment with Human Directional Feedback Zhixian Xie Wenlong Zhang Yi Ren Zhaoran Wang George J. Pappas Wanxin Jin 47 0 0 05 Jul 2024
Safety through feedback in Constrained RL Shashank Reddy Chirra Pradeep Varakantham P. Paruchuri OffRL 43 1 0 28 Jun 2024
Confidence Aware Inverse Constrained Reinforcement Learning Sriram Ganapathi Subramanian Guiliang Liu Mohammed Elmahgiubi Kasra Rezaee Pascal Poupart 40 3 0 24 Jun 2024
Jointly Learning Cost and Constraints from Demonstrations for Safe Trajectory Generation Shivam Chaubey Francesco Verdoja Ville Kyrki 16 0 0 06 May 2024
Safe Reinforcement Learning with Learned Non-Markovian Safety Constraints Siow Meng Low Akshat Kumar OffRL 30 0 0 05 May 2024
Imitating Cost-Constrained Behaviors in Reinforcement Learning Qian Shao Pradeep Varakantham Shih-Fen Cheng 23 1 0 26 Mar 2024
A Simple Mixture Policy Parameterization for Improving Sample Efficiency of CVaR Optimization Yudong Luo Yangchen Pan Han Wang Philip H. S. Torr Pascal Poupart 29 3 0 17 Mar 2024
Bayesian Constraint Inference from User Demonstrations Based on Margin-Respecting Preference Models Dimitris Papadimitriou Daniel S. Brown 40 1 0 04 Mar 2024
Multi Task Inverse Reinforcement Learning for Common Sense Reward Neta Glazer Aviv Navon Aviv Shamsian Ethan Fetaya 27 0 0 17 Feb 2024
Learning Safety Constraints From Demonstration Using One-Class Decision Trees Mattijs Baert Sam Leroux Pieter Simoens 19 0 0 14 Dec 2023
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback Stephen Casper Xander Davies Claudia Shi T. Gilbert Jérémy Scheurer ... Erdem Biyik Anca Dragan David M. Krueger Dorsa Sadigh Dylan Hadfield-Menell ALM OffRL 44 470 0 27 Jul 2023
An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient Yudong Luo Guiliang Liu Pascal Poupart Yangchen Pan 22 10 0 17 Jul 2023
Inverse Constraint Learning and Generalization by Transferable Reward Decomposition Jaehwi Jang Minjae Song Daehyung Park 16 0 0 21 Jun 2023
Identifiability and Generalizability in Constrained Inverse Reinforcement Learning Andreas Schlaginhaufen Maryam Kamgarpour 21 10 0 01 Jun 2023
Learning Safety Constraints from Demonstrations with Unknown Rewards David Lindner Xin Chen Sebastian Tschiatschek Katja Hofmann Andreas Krause 15 16 0 25 May 2023
Inverse Reinforcement Learning With Constraint Recovery Nirjhar Das Arpan Chattopadhyay 21 2 0 14 May 2023
Maximum Causal Entropy Inverse Constrained Reinforcement Learning Mattijs Baert Pietro Mazzaglia Sam Leroux Pieter Simoens CML 32 10 0 04 May 2023
Constraint Inference in Control Tasks from Expert Demonstrations via Inverse Optimization D. Papadimitriou Jingqi Li 12 3 0 06 Apr 2023
TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets Yuanying Cai Chuheng Zhang Li Zhao Wei Shen Xuyun Zhang Lei Song Jiang Bian Tao Qin Tie-Yan Liu OffRL 9 3 0 05 Dec 2022
Sustainable Online Reinforcement Learning for Auto-bidding Zhiyu Mou Yusen Huo Rongquan Bai Mingzhou Xie Chuan Yu Jian Xu Bo Zheng OffRL OnRL 24 15 0 13 Oct 2022
Formalizing the Problem of Side Effect Regularization Alexander Matt Turner Aseem Saxena Prasad Tadepalli 13 2 0 23 Jun 2022
Benchmarking Constraint Inference in Inverse Reinforcement Learning Guiliang Liu Yudong Luo A. Gaurav K. Rezaee Pascal Poupart 41 22 0 20 Jun 2022
X-MEN: Guaranteed XOR-Maximum Entropy Constrained Inverse Reinforcement Learning Fan Ding Yeiang Xue 6 7 0 22 Mar 2022
Learning Behavioral Soft Constraints from Demonstrations Arie Glazier Andrea Loreggia N. Mattei Taher Rahgooy F. Rossi Brent Venable 10 5 0 21 Feb 2022
How To Not Drive: Learning Driving Constraints from Demonstration K. Rezaee Peyman Yadmellat 26 3 0 01 Oct 2021
Making Human-Like Trade-offs in Constrained Environments by Learning from Demonstrations Arie Glazier Andrea Loreggia Nicholas Mattei Taher Rahgooy F. Rossi K. Venable 21 8 0 22 Sep 2021