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Joint Goal and Strategy Inference across Heterogeneous Demonstrators via
  Reward Network Distillation
v1v2v3 (latest)

Joint Goal and Strategy Inference across Heterogeneous Demonstrators via Reward Network Distillation

IEEE/ACM International Conference on Human-Robot Interaction (HRI), 2020
2 January 2020
Letian Chen
Rohan R. Paleja
Muyleng Ghuy
Matthew C. Gombolay
ArXiv (abs)PDFHTML

Papers citing "Joint Goal and Strategy Inference across Heterogeneous Demonstrators via Reward Network Distillation"

22 / 22 papers shown
Robotic Table Tennis: A Case Study into a High Speed Learning System
Robotic Table Tennis: A Case Study into a High Speed Learning System
David B. DÁmbrosio
Jonathan Abelian
Saminda Abeyruwan
Michael Ahn
Alex Bewley
...
Vikas Sindhwani
Avi Singh
Vincent Vanhoucke
Grace Vesom
Peng Xu
398
29
0
20 Feb 2025
ELEMENTAL: Interactive Learning from Demonstrations and Vision-Language Models for Reward Design in Robotics
ELEMENTAL: Interactive Learning from Demonstrations and Vision-Language Models for Reward Design in Robotics
Letian Chen
Nina Moorman
Matthew C. Gombolay
OffRLLM&Ro
716
6
0
27 Nov 2024
ARCADE: Scalable Demonstration Collection and Generation via Augmented
  Reality for Imitation Learning
ARCADE: Scalable Demonstration Collection and Generation via Augmented Reality for Imitation LearningIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024
Yue Yang
Bryce Ikeda
Gedas Bertasius
D. Szafir
266
6
0
21 Oct 2024
Imitation Learning with Additional Constraints on Motion Style using
  Parametric Bias
Imitation Learning with Additional Constraints on Motion Style using Parametric Bias
Kento Kawaharazuka
Yoichiro Kawamura
K. Okada
Masayuki Inaba
228
14
0
10 Jul 2024
Augmented Reality Demonstrations for Scalable Robot Imitation Learning
Augmented Reality Demonstrations for Scalable Robot Imitation Learning
Yue Yang
Bryce Ikeda
Gedas Bertasius
D. Szafir
178
0
0
20 Mar 2024
Multi Task Inverse Reinforcement Learning for Common Sense Reward
Multi Task Inverse Reinforcement Learning for Common Sense Reward
Neta Glazer
Aviv Navon
Aviv Shamsian
Ethan Fetaya
332
1
0
17 Feb 2024
Inverse Reinforcement Learning by Estimating Expertise of Demonstrators
Inverse Reinforcement Learning by Estimating Expertise of Demonstrators
M. Beliaev
Ramtin Pedarsani
376
7
0
02 Feb 2024
Multi-Camera Asynchronous Ball Localization and Trajectory Prediction
  with Factor Graphs and Human Poses
Multi-Camera Asynchronous Ball Localization and Trajectory Prediction with Factor Graphs and Human Poses
Qingyu Xiao
Z. Zaidi
Matthew C. Gombolay
301
12
0
30 Jan 2024
The Effect of Robot Skill Level and Communication in Rapid, Proximate
  Human-Robot Collaboration
The Effect of Robot Skill Level and Communication in Rapid, Proximate Human-Robot CollaborationIEEE/ACM International Conference on Human-Robot Interaction (HRI), 2023
Kin Man Lee
Arjun Krishna
Z. Zaidi
Rohan R. Paleja
Letian Chen
Erin Hedlund-Botti
Mariah L. Schrum
Matthew C. Gombolay
293
18
0
07 Apr 2023
Utilizing Human Feedback for Primitive Optimization in Wheelchair Tennis
Utilizing Human Feedback for Primitive Optimization in Wheelchair Tennis
Arjun Krishna
Z. Zaidi
Letian Chen
Rohan R. Paleja
Esmaeil Seraj
Matthew C. Gombolay
405
3
0
29 Dec 2022
Safe Inverse Reinforcement Learning via Control Barrier Function
Safe Inverse Reinforcement Learning via Control Barrier Function
Yue Yang
Letian Chen
Matthew C. Gombolay
OffRL
302
5
0
06 Dec 2022
Athletic Mobile Manipulator System for Robotic Wheelchair Tennis
Athletic Mobile Manipulator System for Robotic Wheelchair TennisIEEE Robotics and Automation Letters (RA-L), 2022
Z. Zaidi
Daniel Martin
Nathaniel Belles
Viacheslav Zakharov
Arjun Krishna
...
Nina Moorman
Rohan R. Paleja
Letian Chen
Esmaeil Seraj
Matthew C. Gombolay
425
24
0
05 Oct 2022
Fast Lifelong Adaptive Inverse Reinforcement Learning from
  Demonstrations
Fast Lifelong Adaptive Inverse Reinforcement Learning from DemonstrationsConference on Robot Learning (CoRL), 2022
Letian Chen
Sravan Jayanthi
Rohan R. Paleja
Daniel Martin
Viacheslav Zakharov
Matthew C. Gombolay
681
19
0
24 Sep 2022
The Utility of Explainable AI in Ad Hoc Human-Machine Teaming
The Utility of Explainable AI in Ad Hoc Human-Machine TeamingNeural Information Processing Systems (NeurIPS), 2022
Rohan R. Paleja
Muyleng Ghuy
Nadun R. Arachchige
Reed Jensen
Matthew C. Gombolay
272
89
0
08 Sep 2022
i-Sim2Real: Reinforcement Learning of Robotic Policies in Tight
  Human-Robot Interaction Loops
i-Sim2Real: Reinforcement Learning of Robotic Policies in Tight Human-Robot Interaction LoopsConference on Robot Learning (CoRL), 2022
Saminda Abeyruwan
L. Graesser
David B. DÁmbrosio
Avi Singh
Anish Shankar
Alex Bewley
Deepali Jain
K. Choromanski
Pannag R Sanketi
434
70
0
14 Jul 2022
Strategy Discovery and Mixture in Lifelong Learning from Heterogeneous
  Demonstration
Strategy Discovery and Mixture in Lifelong Learning from Heterogeneous Demonstration
Sravan Jayanthi
Letian Chen
Matthew C. Gombolay
184
0
0
14 Feb 2022
Towards Sample-efficient Apprenticeship Learning from Suboptimal
  Demonstration
Towards Sample-efficient Apprenticeship Learning from Suboptimal Demonstration
Letian Chen
Rohan R. Paleja
Matthew C. Gombolay
175
2
0
08 Oct 2021
Resource-Aware Adaptation of Heterogeneous Strategies for Coalition
  Formation
Resource-Aware Adaptation of Heterogeneous Strategies for Coalition FormationAdaptive Agents and Multi-Agent Systems (AAMAS), 2021
Anusha Srikanthan
Harish Ravichandar
233
4
0
05 Aug 2021
LiMIIRL: Lightweight Multiple-Intent Inverse Reinforcement Learning
LiMIIRL: Lightweight Multiple-Intent Inverse Reinforcement Learning
Aaron J. Snoswell
Surya P. N. Singh
N. Ye
242
6
0
03 Jun 2021
FireCommander: An Interactive, Probabilistic Multi-agent Environment for
  Heterogeneous Robot Teams
FireCommander: An Interactive, Probabilistic Multi-agent Environment for Heterogeneous Robot Teams
Esmaeil Seraj
Xiyang Wu
Matthew C. Gombolay
AI4CE
344
11
0
31 Oct 2020
Learning from Suboptimal Demonstration via Self-Supervised Reward
  Regression
Learning from Suboptimal Demonstration via Self-Supervised Reward RegressionConference on Robot Learning (CoRL), 2020
Letian Chen
Rohan R. Paleja
Matthew C. Gombolay
SSL
379
130
0
17 Oct 2020
Interpretable and Personalized Apprenticeship Scheduling: Learning
  Interpretable Scheduling Policies from Heterogeneous User Demonstrations
Interpretable and Personalized Apprenticeship Scheduling: Learning Interpretable Scheduling Policies from Heterogeneous User DemonstrationsNeural Information Processing Systems (NeurIPS), 2019
Rohan R. Paleja
Andrew Silva
Letian Chen
Matthew C. Gombolay
401
38
0
14 Jun 2019
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