Safe Imitation Learning via Fast Bayesian Reward Inference from
Preferences

Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences

21 February 2020

Daniel S. Brown

Russell Coleman

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

18 / 18 papers shown

Title
Learning Transparent Reward Models via Unsupervised Feature Selection Daulet Baimukashev G. Alcan K. Luck Ville Kyrki SSL OffRL 31 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 4 0 06 Aug 2024
Preference Elicitation for Offline Reinforcement Learning Alizée Pace Bernhard Schölkopf Gunnar Rätsch Giorgia Ramponi OffRL 55 1 0 26 Jun 2024
Pareto-Optimal Learning from Preferences with Hidden Context Ryan Boldi Li Ding Lee Spector S. Niekum 51 6 0 21 Jun 2024
Interpretable Robotic Manipulation from Language Boyuan Zheng Jianlong Zhou Fang Chen LM&Ro 27 0 0 27 May 2024
Rating-based Reinforcement Learning Devin White Mingkang Wu Ellen R. Novoseller Vernon J. Lawhern Nicholas R. Waytowich Yongcan Cao ALM 11 6 0 30 Jul 2023
Aligning Robot Representations with Humans Andreea Bobu Andi Peng 8 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 8 10 0 17 Feb 2022
A Ranking Game for Imitation Learning Harshit S. Sikchi Akanksha Saran Wonjoon Goo S. Niekum OffRL 14 21 0 07 Feb 2022
The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models Alexander Pan Kush S. Bhatia Jacob Steinhardt 28 167 0 10 Jan 2022
Is the Rush to Machine Learning Jeopardizing Safety? Results of a Survey M. Askarpour Alan Wassyng M. Lawford R. Paige Z. Diskin 12 0 0 29 Nov 2021
Risk Averse Bayesian Reward Learning for Autonomous Navigation from Human Demonstration Christian Ellis Maggie B. Wigness J. Rogers Craig T. Lennon L. Fiondella 39 6 0 31 Jul 2021
Bayesian Robust Optimization for Imitation Learning Daniel S. Brown S. Niekum Marek Petrik 17 32 0 24 Jul 2020
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum G. Konidaris 17 355 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 74 264 0 13 Jun 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach Yinlam Chow Aviv Tamar Shie Mannor Marco Pavone 62 310 0 06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015