Efficient Probabilistic Performance Bounds for Inverse Reinforcement Learning

3 July 2017

Papers citing "Efficient Probabilistic Performance Bounds for Inverse Reinforcement Learning"

26 / 26 papers shown

Title
Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives Siyu Teng Xuemin Hu Peng Deng Bai Li Yuchen Li ... Yunfeng Ai Lingxi Li Zhe Xuanyuan F. Zhu Long Chen 40 336 0 17 Mar 2023
Kernel Density Bayesian Inverse Reinforcement Learning Aishwarya Mandyam Didong Li Diana Cai Andrew Jones Barbara E. Engelhardt BDL OffRL 47 3 0 13 Mar 2023
Imitating careful experts to avoid catastrophic events J.R.P. Hanslope Laurence Aitchison OffRL 27 0 0 02 Feb 2023
Benchmarks and Algorithms for Offline Preference-Based Reward Learning Daniel Shin Anca Dragan Daniel S. Brown OffRL 17 53 0 03 Jan 2023
Safe Inverse Reinforcement Learning via Control Barrier Function Yue Yang Letian Chen Matthew C. Gombolay OffRL 19 3 0 06 Dec 2022
Autonomous Assessment of Demonstration Sufficiency via Bayesian Inverse Reinforcement Learning Tuan-Duong Trinh Haoyu Chen Daniel S. Brown OffRL 36 7 0 28 Nov 2022
The Effect of Modeling Human Rationality Level on Learning Rewards from Multiple Feedback Types Gaurav R. Ghosal M. Zurek Daniel S. Brown Anca Dragan 13 26 0 23 Aug 2022
Context-Hierarchy Inverse Reinforcement Learning Wei Gao David Hsu W. Lee 8 0 0 25 Feb 2022
LEGS: Learning Efficient Grasp Sets for Exploratory Grasping Letian Fu Michael Danielczuk Ashwin Balakrishna Daniel S. Brown Jeffrey Ichnowski Eugen Solowjow Ken Goldberg 10 12 0 29 Nov 2021
Offline Preference-Based Apprenticeship Learning Daniel Shin Daniel S. Brown Anca D. Dragan OffRL 24 17 0 20 Jul 2021
Policy Gradient Bayesian Robust Optimization for Imitation Learning Zaynah Javed Daniel S. Brown Satvik Sharma Jerry Zhu Ashwin Balakrishna Marek Petrik Anca Dragan Ken Goldberg 27 16 0 11 Jun 2021
Value Alignment Verification Daniel S. Brown Jordan Jack Schneider Anca D. Dragan S. Niekum 29 31 0 02 Dec 2020
Soft-Robust Algorithms for Batch Reinforcement Learning Elita Lobo Mohammad Ghavamzadeh Marek Petrik OffRL 28 4 0 30 Nov 2020
Bayesian Robust Optimization for Imitation Learning Daniel S. Brown S. Niekum Marek Petrik 27 32 0 24 Jul 2020
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences Daniel S. Brown Russell Coleman R. Srinivasan S. Niekum BDL 30 101 0 21 Feb 2020
Deep Bayesian Reward Learning from Preferences Daniel S. Brown S. Niekum BDL 8 34 0 10 Dec 2019
Inverse Reinforcement Learning with Multiple Ranked Experts Pablo Samuel Castro Shijian Li Daqing Zhang 16 13 0 31 Jul 2019
Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrations Daniel S. Brown Wonjoon Goo S. Niekum 11 9 0 09 Jul 2019
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum George Konidaris 36 356 0 06 Jul 2019
Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints Sebastian Tschiatschek Ahana Ghosh Luis Haug R. Devidze Adish Singla 17 43 0 02 Jun 2019
Defining Admissible Rewards for High Confidence Policy Evaluation Niranjani Prasad Barbara E. Engelhardt Finale Doshi-Velez OffRL 25 6 0 30 May 2019
Operation and Imitation under Safety-Aware Shared Control Alexander Broad Todd D. Murphey B. Argall 13 10 0 26 May 2019
Risk-Aware Active Inverse Reinforcement Learning Daniel S. Brown Yuchen Cui S. Niekum 25 58 0 08 Jan 2019
A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress Saurabh Arora Prashant Doshi OffRL 22 594 0 18 Jun 2018
Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications Daniel S. Brown S. Niekum OffRL 17 81 0 20 May 2018
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach Yinlam Chow Aviv Tamar Shie Mannor Marco Pavone 73 312 0 06 Jun 2015