Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences

21 February 2020

Papers citing "Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences"

32 / 32 papers shown

Title
Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation N. Dennler Stefanos Nikolaidis Maja J. Matarić 141 0 0 03 Jan 2025
Learning Transparent Reward Models via Unsupervised Feature Selection Daulet Baimukashev G. Alcan K. Luck Ville Kyrki SSL OffRL 36 0 0 24 Oct 2024
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning Haozhe Ma Zhengding Luo Thanh Vinh Vo Kuankuan Sima Tze-Yun Leong 29 5 0 06 Aug 2024
Preference Elicitation for Offline Reinforcement Learning Alizée Pace Bernhard Schölkopf Gunnar Rätsch Giorgia Ramponi OffRL 63 1 0 26 Jun 2024
Pareto-Optimal Learning from Preferences with Hidden Context Ryan Boldi Li Ding Lee Spector S. Niekum 67 6 0 21 Jun 2024
Interpretable Robotic Manipulation from Language Boyuan Zheng Jianlong Zhou Fang Chen LM&Ro 41 0 0 27 May 2024
Bayesian Constraint Inference from User Demonstrations Based on Margin-Respecting Preference Models Dimitris Papadimitriou Daniel S. Brown 40 1 0 04 Mar 2024
Rating-based Reinforcement Learning Devin White Mingkang Wu Ellen R. Novoseller Vernon J. Lawhern Nicholas R. Waytowich Yongcan Cao ALM 19 6 0 30 Jul 2023
Benchmarks and Algorithms for Offline Preference-Based Reward Learning Daniel Shin Anca Dragan Daniel S. Brown OffRL 14 53 0 03 Jan 2023
SIRL: Similarity-based Implicit Representation Learning Andreea Bobu Yi Liu Rohin Shah Daniel S. Brown Anca Dragan SSL DRL 35 17 0 02 Jan 2023
Learning to Rearrange with Physics-Inspired Risk Awareness Meng Song Yuhan Liu Zhengqin Li Manmohan Chandraker 24 0 0 26 Jun 2022
Aligning Robot Representations with Humans Andreea Bobu Andi Peng 27 0 0 15 May 2022
A Survey on Deep Reinforcement Learning-based Approaches for Adaptation and Generalization Pamul Yadav Ashutosh Mishra Junyong Lee Shiho Kim OffRL AI4CE 16 10 0 17 Feb 2022
A Ranking Game for Imitation Learning Harshit S. Sikchi Akanksha Saran Wonjoon Goo S. Niekum OffRL 17 22 0 07 Feb 2022
Inducing Structure in Reward Learning by Learning Features Andreea Bobu Marius Wiggert Claire Tomlin Anca Dragan 21 30 0 18 Jan 2022
The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models Alexander Pan Kush S. Bhatia Jacob Steinhardt 44 168 0 10 Jan 2022
Efficient Performance Bounds for Primal-Dual Reinforcement Learning from Demonstrations Angeliki Kamoutsi G. Banjac John Lygeros OffRL 26 7 0 28 Dec 2021
Is the Rush to Machine Learning Jeopardizing Safety? Results of a Survey M. Askarpour Alan Wassyng M. Lawford R. Paige Z. Diskin 15 0 0 29 Nov 2021
SOPE: Spectrum of Off-Policy Estimators C. J. Yuan Yash Chandak S. Giguere Philip S. Thomas S. Niekum OffRL 50 5 0 06 Nov 2021
Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks Bohan Wu Suraj Nair Li Fei-Fei Chelsea Finn OffRL LM&Ro 38 24 0 21 Sep 2021
ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation Learning Ryan Hoque Ashwin Balakrishna Ellen R. Novoseller Albert Wilcox Daniel S. Brown Ken Goldberg 27 84 0 17 Sep 2021
Risk Averse Bayesian Reward Learning for Autonomous Navigation from Human Demonstration Christian Ellis Maggie B. Wigness J. Rogers Craig T. Lennon L. Fiondella 70 6 0 31 Jul 2021
SkiffOS: Minimal Cross-compiled Linux for Embedded Containers Christian Stewart 36 49 0 31 Mar 2021
Self-Supervised Online Reward Shaping in Sparse-Reward Environments F. Memarian Wonjoon Goo Rudolf Lioutikov S. Niekum Ufuk Topcu OffRL 26 47 0 08 Mar 2021
Uncertainty-Aware Constraint Learning for Adaptive Safe Motion Planning from Demonstrations Glen Chou N. Ozay Dmitry Berenson 19 15 0 09 Nov 2020
Robust Imitation Learning from Noisy Demonstrations Voot Tangkaratt Nontawat Charoenphakdee Masashi Sugiyama NoLa 38 26 0 20 Oct 2020
Bayesian Robust Optimization for Imitation Learning Daniel S. Brown S. Niekum Marek Petrik 27 32 0 24 Jul 2020
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum George Konidaris 27 355 0 06 Jul 2019
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam Mohammad Emtiyaz Khan Didrik Nielsen Voot Tangkaratt Wu Lin Y. Gal Akash Srivastava ODL 74 266 0 13 Jun 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach Yinlam Chow Aviv Tamar Shie Mannor Marco Pavone 67 310 0 06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015