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Aligning Robot and Human Representations

Aligning Robot and Human Representations

3 February 2023
Andreea Bobu
Andi Peng
Pulkit Agrawal
Julie A. Shah
Anca D. Dragan
ArXivPDFHTML

Papers citing "Aligning Robot and Human Representations"

14 / 14 papers shown
Title
CIVIL: Causal and Intuitive Visual Imitation Learning
CIVIL: Causal and Intuitive Visual Imitation Learning
Yinlong Dai
Robert Ramirez Sanchez
Ryan Jeronimus
Shahabedin Sagheb
Cara M. Nunez
Heramb Nemlekar
Dylan P. Losey
58
0
0
24 Apr 2025
Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation
N. Dennler
S. Nikolaidis
Maja J. Matarić
39
0
0
03 Jan 2025
Beyond Preferences in AI Alignment
Beyond Preferences in AI Alignment
Tan Zhi-Xuan
Micah Carroll
Matija Franklin
Hal Ashton
28
16
0
30 Aug 2024
Towards Interpretable Foundation Models of Robot Behavior: A Task
  Specific Policy Generation Approach
Towards Interpretable Foundation Models of Robot Behavior: A Task Specific Policy Generation Approach
Isaac S. Sheidlower
Reuben M. Aronson
E. Short
26
0
0
10 Jul 2024
A Practical Roadmap to Learning from Demonstration for Robotic
  Manipulators in Manufacturing
A Practical Roadmap to Learning from Demonstration for Robotic Manipulators in Manufacturing
Alireza Barekatain
Hamed Habibi
Holger Voos
19
3
0
11 Jun 2024
Zero-shot Safety Prediction for Autonomous Robots with Foundation World
  Models
Zero-shot Safety Prediction for Autonomous Robots with Foundation World Models
Zhenjiang Mao
Siqi Dai
Yuang Geng
Ivan Ruchkin
27
3
0
30 Mar 2024
An Empirical Investigation of Representation Learning for Imitation
An Empirical Investigation of Representation Learning for Imitation
Xin Chen
Sam Toyer
Cody Wild
Scott Emmons
Ian S. Fischer
...
Steven H. Wang
Ping Luo
Stuart J. Russell
Pieter Abbeel
Rohin Shah
AI4TS
26
27
0
16 May 2022
SORNet: Spatial Object-Centric Representations for Sequential
  Manipulation
SORNet: Spatial Object-Centric Representations for Sequential Manipulation
Wentao Yuan
Chris Paxton
Karthik Desingh
D. Fox
3DPC
137
72
0
08 Sep 2021
Pragmatic Image Compression for Human-in-the-Loop Decision-Making
Pragmatic Image Compression for Human-in-the-Loop Decision-Making
S. Reddy
Anca Dragan
Sergey Levine
OffRL
21
13
0
07 Jul 2021
Decoupling Representation Learning from Reinforcement Learning
Decoupling Representation Learning from Reinforcement Learning
Adam Stooke
Kimin Lee
Pieter Abbeel
Michael Laskin
SSL
DRL
261
337
0
14 Sep 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
321
1,944
0
04 May 2020
Scalable Multi-Task Imitation Learning with Autonomous Improvement
Scalable Multi-Task Imitation Learning with Autonomous Improvement
Avi Singh
Eric Jang
A. Irpan
Daniel Kappler
Murtaza Dalal
Sergey Levine
Mohi Khansari
Chelsea Finn
35
35
0
25 Feb 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,568
0
09 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,635
0
05 Dec 2016
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