PECAN: Personalizing Robot Behaviors through a Learned Canonical Space

22 July 2024

Papers citing "PECAN: Personalizing Robot Behaviors through a Learned Canonical Space"

45 / 45 papers shown

Title
Optimal Interactive Learning on the Job via Facility Location Planning Shivam Vats Michelle Zhao Patrick Callaghan Mingxi Jia Maxim Likhachev Oliver Kroemer George Konidaris 200 0 0 01 May 2025
CIVIL: Causal and Intuitive Visual Imitation Learning Yinlong Dai Robert Ramirez Sanchez Ryan Jeronimus Shahabedin Sagheb Cara M. Nunez Heramb Nemlekar Dylan P. Losey 98 1 0 24 Apr 2025
NoisyTwins: Class-Consistent and Diverse Image Generation through StyleGANs Harsh Rangwani Lavish Bansal Kartik Sharma Tejan Karmali Varun Jampani R. Venkatesh Babu 43 15 0 12 Apr 2023
Aligning Robot and Human Representations Andreea Bobu Andi Peng Pulkit Agrawal Julie A. Shah Anca D. Dragan 83 11 0 03 Feb 2023
MAVERIC: A Data-Driven Approach to Personalized Autonomous Driving Mariah L. Schrum Emily S. Sumner Matthew C. Gombolay A. Best 82 19 0 20 Jan 2023
Few-Shot Preference Learning for Human-in-the-Loop RL Joey Hejna Dorsa Sadigh OffRL 93 96 0 06 Dec 2022
Sparse Representation Learning with Modified q-VAE towards Minimal Realization of World Model Taisuke Kobayashi Ryoma Watanuki DRL 47 7 0 08 Aug 2022
SKILL-IL: Disentangling Skill and Knowledge in Multitask Imitation Learning Xihan Bian Oscar Alejandro Mendez Maldonado Simon Hadfield 44 6 0 06 May 2022
TAE: A Semi-supervised Controllable Behavior-aware Trajectory Generator and Predictor Ruochen Jiao Xiangguo Liu Bowen Zheng Davis Liang Qi Zhu 107 24 0 02 Mar 2022
Inducing Structure in Reward Learning by Learning Features Andreea Bobu Marius Wiggert Claire Tomlin Anca Dragan 57 31 0 18 Jan 2022
Towards More Generalizable One-shot Visual Imitation Learning Zhao Mandi Fangchen Liu Kimin Lee Pieter Abbeel 59 61 0 26 Oct 2021
APReL: A Library for Active Preference-based Reward Learning Algorithms Erdem Biyik Aditi Talati Dorsa Sadigh 42 36 0 16 Aug 2021
Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback Xiaofei Wang Kimin Lee Kourosh Hakhamaneshi Pieter Abbeel Michael Laskin 99 43 0 11 Aug 2021
Physical Interaction as Communication: Learning Robot Objectives Online from Human Corrections Dylan P. Losey Andrea V. Bajcsy M. O'Malley Anca Dragan 33 36 0 06 Jul 2021
Planning for Safe Abortable Overtaking Maneuvers in Autonomous Driving Jiyo Palatti Andrei Aksjonov G. Alcan Ville Kyrki 35 22 0 31 Mar 2021
LASER: Learning a Latent Action Space for Efficient Reinforcement Learning Arthur Allshire Roberto Martín-Martín Charles Lin Shawn Manuel Silvio Savarese Animesh Garg 46 56 0 29 Mar 2021
Preference-based Learning of Reward Function Features Sydney M. Katz Amir Maleki Erdem Biyik Mykel J. Kochenderfer 60 12 0 03 Mar 2021
Dissecting Supervised Contrastive Learning Florian Graf Christoph Hofer Marc Niethammer Roland Kwitt SSL 136 72 0 17 Feb 2021
Disentangled Sequence Clustering for Human Intention Inference Mark Zolotas Y. Demiris DRL 55 5 0 23 Jan 2021
Task Programming: Learning Data Efficient Behavior Representations Jennifer J. Sun Ann Kennedy Eric Zhan David J. Anderson Yisong Yue Pietro Perona 54 51 0 27 Nov 2020
Human-guided Robot Behavior Learning: A GAN-assisted Preference-based Reinforcement Learning Approach Huixin Zhan Feng Tao Yongcan Cao 63 26 0 15 Oct 2020
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning Yuke Zhu J. Wong Ajay Mandlekar Roberto Martín-Martín Abhishek Joshi Soroush Nasiriany Yifeng Zhu Soroush Nasiriany Yifeng Zhu 169 443 0 25 Sep 2020
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving Zhangjie Cao Erdem Biyik Woodrow Z. Wang Allan Raventos Adrien Gaidon Guy Rosman Dorsa Sadigh 105 65 0 01 Jul 2020
Learning Reward Functions from Diverse Sources of Human Feedback: Optimally Integrating Demonstrations and Preferences Erdem Biyik Dylan P. Losey Malayandi Palan Nicholas C. Landolfi Gleb Shevchuk Dorsa Sadigh 48 118 0 24 Jun 2020
Scalable Multi-Task Imitation Learning with Autonomous Improvement Avi Singh Eric Jang A. Irpan Daniel Kappler Murtaza Dalal Sergey Levine Mohi Khansari Chelsea Finn 76 34 0 25 Feb 2020
Gated Variational AutoEncoders: Incorporating Weak Supervision to Encourage Disentanglement M. Vowels Necati Cihan Camgöz Richard Bowden CoGe DRL 44 9 0 15 Nov 2019
Asking Easy Questions: A User-Friendly Approach to Active Reward Learning Erdem Biyik Malayandi Palan Nicholas C. Landolfi Dylan P. Losey Dorsa Sadigh 39 116 0 10 Oct 2019
Disentangled Relational Representations for Explaining and Learning from Demonstration Yordan V. Hristov Daniel Angelov Michael G. Burke A. Lascarides S. Ramamoorthy DRL 38 25 0 31 Jul 2019
Improving User Specifications for Robot Behavior through Active Preference Learning: Framework and Evaluation Nils Wilde Alex Blidaru Stephen L. Smith Dana Kulić 24 32 0 24 Jul 2019
SeGMA: Semi-Supervised Gaussian Mixture Auto-Encoder Marek Śmieja Maciej Wołczyk Jacek Tabor Bernhard C. Geiger 23 23 0 21 Jun 2019
Driving with Style: Inverse Reinforcement Learning in General-Purpose Planning for Automated Driving Sascha Rosbach Vinit James S. Großjohann S. Homoceanu Stefan Roth 33 60 0 01 May 2019
Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space? Rameen Abdal Yipeng Qin Peter Wonka GAN 101 1,109 0 05 Apr 2019
Learning Latent Plans from Play Corey Lynch Mohi Khansari Ted Xiao Vikash Kumar Jonathan Tompson Sergey Levine P. Sermanet SSL LM&Ro 86 404 0 05 Mar 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 560 10,551 0 12 Dec 2018
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations Francesco Locatello Stefan Bauer Mario Lucic Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem OOD 115 1,466 0 29 Nov 2018
Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings John D. Co-Reyes YuXuan Liu Abhishek Gupta Benjamin Eysenbach Pieter Abbeel Sergey Levine SSL BDL AIFin 55 145 0 07 Jun 2018
Understanding disentangling in $β$ -VAE Christopher P. Burgess I. Higgins Arka Pal Loic Matthey Nicholas Watters Guillaume Desjardins Alexander Lerchner CoGe DRL 59 829 0 10 Apr 2018
Learning Disentangled Joint Continuous and Discrete Representations Emilien Dupont DRL 76 242 0 31 Mar 2018
Vision-Based Multi-Task Manipulation for Inexpensive Robots Using End-To-End Learning from Demonstration Rouhollah Rahmatizadeh P. Abolghasemi Ladislau Bölöni Sergey Levine 95 256 0 10 Jul 2017
Deep reinforcement learning from human preferences Paul Christiano Jan Leike Tom B. Brown Miljan Martic Shane Legg Dario Amodei 155 3,296 0 12 Jun 2017
Repeated Inverse Reinforcement Learning Kareem Amin Nan Jiang Satinder Singh 104 76 0 15 May 2017
Neural Style Transfer: A Review Yongcheng Jing Yezhou Yang Zunlei Feng Jingwen Ye Yizhou Yu Xiuming Zhang 64 735 0 11 May 2017
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 312 5,364 0 03 Nov 2016
Learning Preferences for Manipulation Tasks from Online Coactive Feedback Ashesh Jain Shikhar Sharma Thorsten Joachims Ashutosh Saxena 69 116 0 05 Jan 2016
Efficient Model Learning for Human-Robot Collaborative Tasks Stefanos Nikolaidis Keren Gu Ramya Ramakrishnan J. Shah 77 222 0 24 May 2014