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SIRL: Similarity-based Implicit Representation Learning

SIRL: Similarity-based Implicit Representation Learning

2 January 2023
Andreea Bobu
Yi Liu
Rohin Shah
Daniel S. Brown
Anca Dragan
    SSL
    DRL
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Papers citing "SIRL: Similarity-based Implicit Representation Learning"

15 / 15 papers shown
Title
Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following
Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following
Vivek Myers
Bill Chunyuan Zheng
Anca Dragan
Kuan Fang
Sergey Levine
60
0
0
08 Feb 2025
Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation
N. Dennler
S. Nikolaidis
Maja J. Matarić
104
0
0
03 Jan 2025
Robots that Suggest Safe Alternatives
Robots that Suggest Safe Alternatives
Hyun Joe Jeong
Andrea V. Bajcsy
Andrea Bajcsy
OffRL
36
1
0
15 Sep 2024
Representation Alignment from Human Feedback for Cross-Embodiment Reward
  Learning from Mixed-Quality Demonstrations
Representation Alignment from Human Feedback for Cross-Embodiment Reward Learning from Mixed-Quality Demonstrations
Connor Mattson
Anurag Aribandi
Daniel S. Brown
33
0
0
10 Aug 2024
Bayesian Constraint Inference from User Demonstrations Based on
  Margin-Respecting Preference Models
Bayesian Constraint Inference from User Demonstrations Based on Margin-Respecting Preference Models
Dimitris Papadimitriou
Daniel S. Brown
40
1
0
04 Mar 2024
Learning with Language-Guided State Abstractions
Learning with Language-Guided State Abstractions
Andi Peng
Ilia Sucholutsky
Belinda Z. Li
T. Sumers
Thomas L. Griffiths
Jacob Andreas
Julie A. Shah
LM&Ro
43
13
0
28 Feb 2024
Sample-Efficient Preference-based Reinforcement Learning with Dynamics
  Aware Rewards
Sample-Efficient Preference-based Reinforcement Learning with Dynamics Aware Rewards
Katherine Metcalf
Miguel Sarabia
Natalie Mackraz
B. Theobald
25
5
0
28 Feb 2024
What Matters to You? Towards Visual Representation Alignment for Robot
  Learning
What Matters to You? Towards Visual Representation Alignment for Robot Learning
Ran Tian
Chenfeng Xu
Masayoshi Tomizuka
Jitendra Malik
Andrea V. Bajcsy
19
9
0
11 Oct 2023
Human-oriented Representation Learning for Robotic Manipulation
Human-oriented Representation Learning for Robotic Manipulation
Mingxiao Huo
Mingyu Ding
Chenfeng Xu
Thomas Tian
Xinghao Zhu
Yao Mu
Lingfeng Sun
Masayoshi Tomizuka
Wei Zhan
SSL
33
12
0
04 Oct 2023
Can Differentiable Decision Trees Enable Interpretable Reward Learning
  from Human Feedback?
Can Differentiable Decision Trees Enable Interpretable Reward Learning from Human Feedback?
Akansha Kalra
Daniel S. Brown
11
0
0
22 Jun 2023
Sample-efficient Adversarial Imitation Learning
Sample-efficient Adversarial Imitation Learning
Dahuin Jung
Hyungyu Lee
Sung-Hoon Yoon
SSL
13
2
0
14 Mar 2023
Aligning Robot and Human Representations
Aligning Robot and Human Representations
Andreea Bobu
Andi Peng
Pulkit Agrawal
Julie A. Shah
Anca D. Dragan
38
10
0
03 Feb 2023
Autonomous Assessment of Demonstration Sufficiency via Bayesian Inverse
  Reinforcement Learning
Autonomous Assessment of Demonstration Sufficiency via Bayesian Inverse Reinforcement Learning
Tuan-Duong Trinh
Haoyu Chen
Daniel S. Brown
OffRL
23
7
0
28 Nov 2022
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
329
1,949
0
04 May 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
278
11,677
0
09 Mar 2017
1