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Aligning Robot and Human Representations

3 February 2023

Papers citing "Aligning Robot and Human Representations"

47 / 47 papers shown

Title
Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation N. Dennler Stefanos Nikolaidis Maja J. Matarić 452 0 0 03 Jan 2025
PECAN: Personalizing Robot Behaviors through a Learned Canonical Space Heramb Nemlekar Robert Ramirez Sanchez Dylan P. Losey 93 3 0 22 Jul 2024
Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation Andi Peng Aviv Netanyahu Mark K. Ho Tianmin Shu Andreea Bobu J. Shah Pulkit Agrawal 52 14 0 12 Jul 2023
SIRL: Similarity-based Implicit Representation Learning Andreea Bobu Yi Liu Rohin Shah Daniel S. Brown Anca Dragan SSL DRL 80 19 0 02 Jan 2023
Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos Bowen Baker Ilge Akkaya Peter Zhokhov Joost Huizinga Jie Tang Adrien Ecoffet Brandon Houghton Raul Sampedro Jeff Clune OffRL 130 303 0 23 Jun 2022
Learning for Robot Decision Making under Distribution Shift: A Survey Abhishek Paudel OOD OffRL 86 5 0 14 Mar 2022
Teaching Robots to Span the Space of Functional Expressive Motion Arjun Sripathy Andreea Bobu Zhongyu Li Koushil Sreenath Daniel S. Brown Anca Dragan 69 12 0 04 Mar 2022
Bayesian Structure Learning with Generative Flow Networks T. Deleu António Góis Chris C. Emezue M. Rankawat Simon Lacoste-Julien Stefan Bauer Yoshua Bengio BDL 98 156 0 28 Feb 2022
Learning Perceptual Concepts by Bootstrapping from Human Queries Andreea Bobu Chris Paxton Wei Yang Balakumar Sundaralingam Yu-Wei Chao Maya Cakmak Dieter Fox SSL 65 17 0 09 Nov 2021
On the Expressivity of Markov Reward David Abel Will Dabney Anna Harutyunyan Mark K. Ho Michael L. Littman Doina Precup Satinder Singh 79 85 0 01 Nov 2021
CLIPort: What and Where Pathways for Robotic Manipulation Mohit Shridhar Lucas Manuelli Dieter Fox LM&Ro 123 658 0 24 Sep 2021
SORNet: Spatial Object-Centric Representations for Sequential Manipulation Wentao Yuan Chris Paxton Karthik Desingh Dieter Fox 3DPC 185 72 0 08 Sep 2021
Predicting Stable Configurations for Semantic Placement of Novel Objects Chris Paxton Christopher Xie Tucker Hermans Dieter Fox 84 47 0 26 Aug 2021
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training Kimin Lee Laura M. Smith Pieter Abbeel OffRL 65 288 0 09 Jun 2021
Pretraining Representations for Data-Efficient Reinforcement Learning Max Schwarzer Nitarshan Rajkumar Michael Noukhovitch Ankesh Anand Laurent Charlin Devon Hjelm Philip Bachman Aaron Courville OffRL 93 118 0 09 Jun 2021
Situational Confidence Assistance for Lifelong Shared Autonomy M. Zurek Andreea Bobu Daniel S. Brown Anca Dragan 123 30 0 14 Apr 2021
Meta Preference Learning for Fast User Adaptation in Human-Supervisory Multi-Robot Deployments Chao Huang Wenhao Luo Rui Liu 52 12 0 14 Mar 2021
How Well Do Self-Supervised Models Transfer? Linus Ericsson Henry Gouk Timothy M. Hospedales SSL 114 278 0 26 Nov 2020
Decoupling Representation Learning from Reinforcement Learning Adam Stooke Kimin Lee Pieter Abbeel Michael Laskin SSL DRL 365 345 0 14 Sep 2020
Feature Expansive Reward Learning: Rethinking Human Input Andreea Bobu Marius Wiggert Claire Tomlin Anca Dragan 158 45 0 23 Jun 2020
Learning Invariant Representations for Reinforcement Learning without Reconstruction Amy Zhang R. McAllister Roberto Calandra Y. Gal Sergey Levine OOD SSL 114 478 0 18 Jun 2020
CURL: Contrastive Unsupervised Representations for Reinforcement Learning A. Srinivas Michael Laskin Pieter Abbeel SSL DRL OffRL 93 1,092 0 08 Apr 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 97 34 0 25 Feb 2020
Provable Representation Learning for Imitation Learning via Bi-level Optimization Sanjeev Arora S. Du Sham Kakade Yuping Luo Nikunj Saunshi 72 61 0 24 Feb 2020
Dream to Control: Learning Behaviors by Latent Imagination Danijar Hafner Timothy Lillicrap Jimmy Ba Mohammad Norouzi VLM 126 1,371 0 03 Dec 2019
Unsupervised State Representation Learning in Atari Ankesh Anand Evan Racah Sherjil Ozair Yoshua Bengio Marc-Alexandre Côté R. Devon Hjelm SSL 74 255 0 19 Jun 2019
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation Yikun Xian Zuohui Fu S. Muthukrishnan Gerard de Melo Yongfeng Zhang 74 465 0 12 Jun 2019
Adversarial Examples Are Not Bugs, They Are Features Andrew Ilyas Shibani Santurkar Dimitris Tsipras Logan Engstrom Brandon Tran Aleksander Madry SILM 93 1,844 0 06 May 2019
End-to-End Robotic Reinforcement Learning without Reward Engineering Avi Singh Larry Yang Kristian Hartikainen Chelsea Finn Sergey Levine SSL OffRL 79 267 0 16 Apr 2019
Learning Actionable Representations with Goal-Conditioned Policies Dibya Ghosh Abhishek Gupta Sergey Levine 71 110 0 19 Nov 2018
An Algorithmic Perspective on Imitation Learning Takayuki Osa Joni Pajarinen Gerhard Neumann J. Andrew Bagnell Pieter Abbeel Jan Peters 88 847 0 16 Nov 2018
Expressing Robot Incapability Minae Kwon Sandy H. Huang Anca Dragan 48 125 0 18 Oct 2018
Inverse Reward Design Dylan Hadfield-Menell S. Milli Pieter Abbeel Stuart J. Russell Anca Dragan 84 399 0 08 Nov 2017
Visualizing and Understanding Atari Agents S. Greydanus Anurag Koul Jonathan Dodge Alan Fern FAtt 114 347 0 31 Oct 2017
Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation Tianhao Zhang Zoe McCarthy Owen Jow Dennis Lee Xi Chen Ken Goldberg Pieter Abbeel SSL 100 660 0 12 Oct 2017
Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces Garrett A. Warnell Nicholas R. Waytowich Vernon J. Lawhern Peter Stone 62 272 0 28 Sep 2017
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning I. Higgins Arka Pal Andrei A. Rusu Loic Matthey Christopher P. Burgess Alexander Pritzel M. Botvinick Charles Blundell Alexander Lerchner DRL 112 417 0 26 Jul 2017
Vision-Based Multi-Task Manipulation for Inexpensive Robots Using End-To-End Learning from Demonstration Rouhollah Rahmatizadeh P. Abolghasemi Ladislau Bölöni Sergey Levine 102 258 0 10 Jul 2017
Spectrally-normalized margin bounds for neural networks Peter L. Bartlett Dylan J. Foster Matus Telgarsky ODL 210 1,225 0 26 Jun 2017
Deep reinforcement learning from human preferences Paul Christiano Jan Leike Tom B. Brown Miljan Martic Shane Legg Dario Amodei 218 3,365 0 12 Jun 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 829 11,943 0 09 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 842 5,841 0 05 Dec 2016
Concrete Problems in AI Safety Dario Amodei C. Olah Jacob Steinhardt Paul Christiano John Schulman Dandelion Mané 242 2,404 0 21 Jun 2016
The Variational Fair Autoencoder Christos Louizos Kevin Swersky Yujia Li Max Welling R. Zemel DRL 223 636 0 03 Nov 2015
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images Manuel Watter Jost Tobias Springenberg Joschka Boedecker Martin Riedmiller BDL 85 847 0 24 Jun 2015
A Review of Relational Machine Learning for Knowledge Graphs Maximilian Nickel Kevin Patrick Murphy Volker Tresp E. Gabrilovich 189 1,578 0 02 Mar 2015
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell OffRL 244 3,233 0 02 Nov 2010