ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2108.09801
  4. Cited By
APPLE: Adaptive Planner Parameter Learning from Evaluative Feedback

APPLE: Adaptive Planner Parameter Learning from Evaluative Feedback

22 August 2021
Zizhao Wang
Xuesu Xiao
Garrett A. Warnell
Peter Stone
ArXivPDFHTML

Papers citing "APPLE: Adaptive Planner Parameter Learning from Evaluative Feedback"

21 / 21 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
158
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
162
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
80
2
0
10 Feb 2024
Robot navigation from human demonstration: learning control behaviors
  with environment feature maps
Robot navigation from human demonstration: learning control behaviors with environment feature maps
Maggie B. Wigness
J. Rogers
L. Navarro-Serment
57
43
0
06 May 2022
APPLI: Adaptive Planner Parameter Learning From Interventions
APPLI: Adaptive Planner Parameter Learning From Interventions
Zizhao Wang
Xuesu Xiao
Bo Liu
Garrett A. Warnell
Peter Stone
33
50
0
01 Nov 2020
APPLR: Adaptive Planner Parameter Learning from Reinforcement
APPLR: Adaptive Planner Parameter Learning from Reinforcement
Zifan Xu
Gauraang Dhamankar
Anirudh Nair
Xuesu Xiao
Garrett A. Warnell
Bo Liu
Zizhao Wang
Peter Stone
51
54
0
01 Nov 2020
A Lifelong Learning Approach to Mobile Robot Navigation
A Lifelong Learning Approach to Mobile Robot Navigation
Bo Liu
Xuesu Xiao
Peter Stone
55
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
116
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
70
73
0
31 Mar 2020
BADGR: An Autonomous Self-Supervised Learning-Based Navigation System
BADGR: An Autonomous Self-Supervised Learning-Based Navigation System
G. Kahn
Pieter Abbeel
Sergey Levine
SSL
61
266
0
13 Feb 2020
Unclogging Our Arteries: Using Human-Inspired Signals to Disambiguate
  Navigational Intentions
Unclogging Our Arteries: Using Human-Inspired Signals to Disambiguate Navigational Intentions
Justin W. Hart
Reuth Mirsky
Stone Tejeda
B. Mahajan
Jamin Goo
Kathryn Baldauf
Sydney Owen
Peter Stone
38
27
0
14 Sep 2019
Differentiable Gaussian Process Motion Planning
Differentiable Gaussian Process Motion Planning
M. Bhardwaj
Byron Boots
Mustafa Mukadam
47
63
0
22 Jul 2019
Soft Actor-Critic Algorithms and Applications
Soft Actor-Critic Algorithms and Applications
Tuomas Haarnoja
Aurick Zhou
Kristian Hartikainen
George Tucker
Sehoon Ha
...
Vikash Kumar
Henry Zhu
Abhishek Gupta
Pieter Abbeel
Sergey Levine
136
2,425
0
13 Dec 2018
Learning Navigation Behaviors End-to-End with AutoRL
Learning Navigation Behaviors End-to-End with AutoRL
H. Chiang
Aleksandra Faust
Marek Fiser
Anthony G. Francis
114
235
0
26 Sep 2018
Motion Planning Among Dynamic, Decision-Making Agents with Deep
  Reinforcement Learning
Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning
Michael Everett
Yu Fan Chen
Jonathan P. How
237
514
0
04 May 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement
  Learning with a Stochastic Actor
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
305
8,334
0
04 Jan 2018
Intention-Net: Integrating Planning and Deep Learning for Goal-Directed
  Autonomous Navigation
Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation
Wei Gao
David Hsu
Wee Sun Lee
Shengmei Shen
K. Subramanian
57
116
0
16 Oct 2017
ROS Navigation Tuning Guide
ROS Navigation Tuning Guide
Kaiyu Zheng
42
84
0
27 Jun 2017
Interactive Learning from Policy-Dependent Human Feedback
Interactive Learning from Policy-Dependent Human Feedback
J. MacGlashan
Mark K. Ho
R. Loftin
Bei Peng
Guan Wang
David L. Roberts
Matthew E. Taylor
Michael L. Littman
74
303
0
21 Jan 2017
From Perception to Decision: A Data-driven Approach to End-to-end Motion
  Planning for Autonomous Ground Robots
From Perception to Decision: A Data-driven Approach to End-to-end Motion Planning for Autonomous Ground Robots
Mark Pfeiffer
Michaela Schaeuble
Juan I. Nieto
Roland Siegwart
Cesar Cadena
75
382
0
26 Sep 2016
End to End Learning for Self-Driving Cars
End to End Learning for Self-Driving Cars
Mariusz Bojarski
D. Testa
Daniel Dworakowski
Bernhard Firner
B. Flepp
...
Urs Muller
Jiakai Zhang
Xin Zhang
Jake Zhao
Karol Zieba
SSL
100
4,167
0
25 Apr 2016
1