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APPLI: Adaptive Planner Parameter Learning From Interventions
v1v2 (latest)

APPLI: Adaptive Planner Parameter Learning From Interventions

1 November 2020
Zizhao Wang
Xuesu Xiao
Bo Liu
Garrett A. Warnell
Peter Stone
ArXiv (abs)PDFHTML

Papers citing "APPLI: Adaptive Planner Parameter Learning From Interventions"

16 / 16 papers shown
Title
Learning from Active Human Involvement through Proxy Value Propagation
Learning from Active Human Involvement through Proxy Value Propagation
Zhenghao Peng
Wenjie Mo
Chenda Duan
Quanyi Li
Bolei Zhou
176
16
0
05 Feb 2025
GND: Global Navigation Dataset with Multi-Modal Perception and Multi-Category Traversability in Outdoor Campus Environments
GND: Global Navigation Dataset with Multi-Modal Perception and Multi-Category Traversability in Outdoor Campus Environments
Jing Liang
Dibyendu Das
Daeun Song
Md Nahid Hasan Shuvo
Mohammad Durrani
Karthik Taranath
Ivan Penskiy
Dinesh Manocha
Xuesu Xiao
3DV
210
1
0
21 Sep 2024
CAHSOR: Competence-Aware High-Speed Off-Road Ground Navigation in SE(3)
CAHSOR: Competence-Aware High-Speed Off-Road Ground Navigation in SE(3)
Anuj Pokhrel
A. Datar
Mohammad Nazeri
Xuesu Xiao
108
2
0
10 Feb 2024
LaND: Learning to Navigate from Disengagements
LaND: Learning to Navigate from Disengagements
G. Kahn
Pieter Abbeel
Sergey Levine
72
52
0
09 Oct 2020
A Lifelong Learning Approach to Mobile Robot Navigation
A Lifelong Learning Approach to Mobile Robot Navigation
Bo Liu
Xuesu Xiao
Peter Stone
81
10
0
28 Jul 2020
Toward Agile Maneuvers in Highly Constrained Spaces: Learning from
  Hallucination
Toward Agile Maneuvers in Highly Constrained Spaces: Learning from Hallucination
Xuesu Xiao
Bo Liu
Garrett A. Warnell
Peter Stone
167
54
0
28 Jul 2020
APPLD: Adaptive Planner Parameter Learning from Demonstration
APPLD: Adaptive Planner Parameter Learning from Demonstration
Xuesu Xiao
Bo Liu
Garrett A. Warnell
Jonathan R. Fink
Peter Stone
106
73
0
31 Mar 2020
Differentiable Gaussian Process Motion Planning
Differentiable Gaussian Process Motion Planning
M. Bhardwaj
Byron Boots
Mustafa Mukadam
65
63
0
22 Jul 2019
Improving Safety in Reinforcement Learning Using Model-Based
  Architectures and Human Intervention
Improving Safety in Reinforcement Learning Using Model-Based Architectures and Human Intervention
Bharat Prakash
Mohit Khatwani
Nicholas R. Waytowich
T. Mohsenin
OffRL
58
19
0
22 Mar 2019
Ensemble Bayesian Decision Making with Redundant Deep Perceptual Control
  Policies
Ensemble Bayesian Decision Making with Redundant Deep Perceptual Control Policies
Keuntaek Lee
Ziyi Wang
Bogdan I. Vlahov
Harleen K. Brar
Evangelos A. Theodorou
BDLUQCV
73
29
0
30 Nov 2018
HG-DAgger: Interactive Imitation Learning with Human Experts
HG-DAgger: Interactive Imitation Learning with Human Experts
Michael Kelly
Chelsea Sidrane
Katherine Driggs-Campbell
Mykel J. Kochenderfer
OffRL
238
231
0
05 Oct 2018
Evidential Deep Learning to Quantify Classification Uncertainty
Evidential Deep Learning to Quantify Classification Uncertainty
Murat Sensoy
Lance M. Kaplan
M. Kandemir
OODUQCVEDLBDL
197
1,005
0
05 Jun 2018
Trial without Error: Towards Safe Reinforcement Learning via Human
  Intervention
Trial without Error: Towards Safe Reinforcement Learning via Human Intervention
William Saunders
Girish Sastry
Andreas Stuhlmuller
Owain Evans
OffRL
72
231
0
17 Jul 2017
ROS Navigation Tuning Guide
ROS Navigation Tuning Guide
Kaiyu Zheng
62
84
0
27 Jun 2017
Query-Efficient Imitation Learning for End-to-End Autonomous Driving
Query-Efficient Imitation Learning for End-to-End Autonomous Driving
Jiakai Zhang
Kyunghyun Cho
178
215
0
20 May 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCVBDL
909
9,364
0
06 Jun 2015
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