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Explainable Deep Reinforcement Learning for UAV Autonomous Navigation
v1v2 (latest)

Explainable Deep Reinforcement Learning for UAV Autonomous Navigation

30 September 2020
Lei He
Nabil Aouf
Bifeng Song
ArXiv (abs)PDFHTML

Papers citing "Explainable Deep Reinforcement Learning for UAV Autonomous Navigation"

21 / 21 papers shown
Title
Explainability in Deep Reinforcement Learning
Explainability in Deep Reinforcement Learning
Alexandre Heuillet
Fabien Couthouis
Natalia Díaz Rodríguez
XAI
196
283
0
15 Aug 2020
Deep Reinforcement Learning based Local Planner for UAV Obstacle
  Avoidance using Demonstration Data
Deep Reinforcement Learning based Local Planner for UAV Obstacle Avoidance using Demonstration Data
Lei He
Nabil Aouf
J. Whidborne
Bifeng Song
45
27
0
06 Aug 2020
Distal Explanations for Model-free Explainable Reinforcement Learning
Distal Explanations for Model-free Explainable Reinforcement Learning
Prashan Madumal
Tim Miller
L. Sonenberg
F. Vetere
FAttLRM
59
26
0
28 Jan 2020
Explaining Models by Propagating Shapley Values of Local Components
Explaining Models by Propagating Shapley Values of Local Components
Hugh Chen
Scott M. Lundberg
Su-In Lee
FAttFedML
63
109
0
27 Nov 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies,
  Opportunities and Challenges toward Responsible AI
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
Alejandro Barredo Arrieta
Natalia Díaz Rodríguez
Javier Del Ser
Adrien Bennetot
Siham Tabik
...
S. Gil-Lopez
Daniel Molina
Richard Benjamins
Raja Chatila
Francisco Herrera
XAI
130
6,321
0
22 Oct 2019
Robust and Efficient Quadrotor Trajectory Generation for Fast Autonomous
  Flight
Robust and Efficient Quadrotor Trajectory Generation for Fast Autonomous Flight
Boyu Zhou
Fei Gao
Luqi Wang
Chuhao Liu
Shaojie Shen
83
432
0
02 Jul 2019
Explainable Reinforcement Learning Through a Causal Lens
Explainable Reinforcement Learning Through a Causal Lens
Prashan Madumal
Tim Miller
L. Sonenberg
F. Vetere
CML
106
361
0
27 May 2019
Dot-to-Dot: Explainable Hierarchical Reinforcement Learning for Robotic
  Manipulation
Dot-to-Dot: Explainable Hierarchical Reinforcement Learning for Robotic Manipulation
Benjamin Beyret
A. Shafti
A. Faisal
134
74
0
14 Apr 2019
Complementary reinforcement learning towards explainable agents
Complementary reinforcement learning towards explainable agents
J. H. Lee
43
12
0
01 Jan 2019
Addressing Function Approximation Error in Actor-Critic Methods
Addressing Function Approximation Error in Actor-Critic Methods
Scott Fujimoto
H. V. Hoof
David Meger
OffRL
193
5,218
0
26 Feb 2018
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
1.1K
22,090
0
22 May 2017
AirSim: High-Fidelity Visual and Physical Simulation for Autonomous
  Vehicles
AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles
S. Shah
Debadeepta Dey
Chris Lovett
Ashish Kapoor
96
2,003
0
15 May 2017
Learning Important Features Through Propagating Activation Differences
Learning Important Features Through Propagating Activation Differences
Avanti Shrikumar
Peyton Greenside
A. Kundaje
FAtt
203
3,883
0
10 Apr 2017
Axiomatic Attribution for Deep Networks
Axiomatic Attribution for Deep Networks
Mukund Sundararajan
Ankur Taly
Qiqi Yan
OODFAtt
193
6,024
0
04 Mar 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
335
20,110
0
07 Oct 2016
Not Just a Black Box: Learning Important Features Through Propagating
  Activation Differences
Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
Avanti Shrikumar
Peyton Greenside
A. Shcherbina
A. Kundaje
FAtt
92
791
0
05 May 2016
Learning Deep Features for Discriminative Localization
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSLSSegFAtt
253
9,342
0
14 Dec 2015
Striving for Simplicity: The All Convolutional Net
Striving for Simplicity: The All Convolutional Net
Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
FAtt
254
4,681
0
21 Dec 2014
Deep Inside Convolutional Networks: Visualising Image Classification
  Models and Saliency Maps
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
314
7,321
0
20 Dec 2013
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAttSSL
600
15,907
0
12 Nov 2013
Learning Monocular Reactive UAV Control in Cluttered Natural
  Environments
Learning Monocular Reactive UAV Control in Cluttered Natural Environments
Stéphane Ross
Narek Melik-Barkhudarov
Kumar Shaurya Shankar
Andreas Wendel
Debadeepta Dey
J. Andrew Bagnell
M. Hebert
124
438
0
07 Nov 2012
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