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1810.06339
Cited By
Deep Reinforcement Learning
15 October 2018
Yuxi Li
VLM
OffRL
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Papers citing
"Deep Reinforcement Learning"
50 / 51 papers shown
Title
Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domains
Manon Flageat
Félix Chalumeau
Antoine Cully
82
26
0
24 Oct 2022
Movement Analytics: Current Status, Application to Manufacturing, and Future Prospects from an AI Perspective
Peter Baumgartner
Daniel V. Smith
Mashud Rana
Reena Kapoor
Elena Tartaglia
A. Schutt
Ashfaqur Rahman
John Taylor
S. Dunstall
69
4
0
04 Oct 2022
Policy Gradients for Probabilistic Constrained Reinforcement Learning
Weiqin Chen
D. Subramanian
Santiago Paternain
89
6
0
02 Oct 2022
Critical concrete scenario generation using scenario-based falsification
D. Karunakaran
J. S. Berrio
Stewart Worrall
E. Nebot
50
8
0
29 Aug 2022
Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints
D. Mguni
Aivar Sootla
Juliusz Ziomek
Oliver Slumbers
Zipeng Dai
Kun Shao
Jun Wang
105
6
0
31 May 2022
Blind Estimation of a Doubly Selective OFDM Channel: A Deep Learning Algorithm and Theory
T. Getu
N. Golmie
D. Griffith
52
2
0
30 May 2022
RACE: A Reinforcement Learning Framework for Improved Adaptive Control of NoC Channel Buffers
Kamil Khan
S. Pasricha
R. Kim
60
3
0
26 May 2022
Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration
Henna Kokkonen
Lauri Lovén
Naser Hossein Motlagh
Abhishek Kumar
Juha Partala
...
M. Bennis
Sasu Tarkoma
Schahram Dustdar
Susanna Pirttikangas
J. Riekki
99
27
0
03 May 2022
Reliable validation of Reinforcement Learning Benchmarks
Matthias Muller-Brockhausen
Aske Plaat
Mike Preuss
OffRL
43
1
0
02 Mar 2022
Robust Reinforcement Learning via Genetic Curriculum
Yeeho Song
J. Schneider
71
9
0
17 Feb 2022
Quantile-Based Policy Optimization for Reinforcement Learning
Jinyang Jiang
Jiaqiao Hu
Yijie Peng
72
7
0
27 Jan 2022
Control of Dual-Sourcing Inventory Systems using Recurrent Neural Networks
Lucas Böttcher
Thomas Asikis
I. Fragkos
BDL
80
10
0
16 Jan 2022
STIR
2
^2
2
: Reward Relabelling for combined Reinforcement and Imitation Learning on sparse-reward tasks
Jesús Bujalance Martín
Fabien Moutarde
OffRL
61
2
0
11 Jan 2022
Can an AI agent hit a moving target?
Rui Shi
Shi
65
6
0
06 Oct 2021
Not Only Domain Randomization: Universal Policy with Embedding System Identification
Zihan Ding
12
2
0
28 Sep 2021
ADVERSARIALuscator: An Adversarial-DRL Based Obfuscator and Metamorphic Malware SwarmGenerator
Mohit Sewak
S. K. Sahay
Hemant Rathore
AAML
51
8
0
23 Sep 2021
DCUR: Data Curriculum for Teaching via Samples with Reinforcement Learning
Daniel Seita
Abhinav Gopal
Zhao Mandi
John F. Canny
OffRL
OnRL
37
0
0
15 Sep 2021
PowerGym: A Reinforcement Learning Environment for Volt-Var Control in Power Distribution Systems
Ting-Han Fan
Xian Yeow Lee
Yubo Wang
174
24
0
08 Sep 2021
Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning
Yuexiang Zhai
Christina Baek
Zhengyuan Zhou
Jiantao Jiao
Yi-An Ma
85
23
0
08 Jul 2021
Survey on reinforcement learning for language processing
Víctor Uc Cetina
Nicolás Navarro-Guerrero
A. Martín-González
C. Weber
S. Wermter
OffRL
92
109
0
12 Apr 2021
Network Environment Design for Autonomous Cyberdefense
Andres Molina-Markham
Cory Miniter
Becky Powell
Ahmad Ridley
72
42
0
13 Mar 2021
Diluted Near-Optimal Expert Demonstrations for Guiding Dialogue Stochastic Policy Optimisation
Thibault Cordier
Tanguy Urvoy
L. Rojas-Barahona
F. Lefèvre
123
5
0
25 Nov 2020
Augmenting Organizational Decision-Making with Deep Learning Algorithms: Principles, Promises, and Challenges
Yash Raj Shrestha
Vaibhav Krishna
G. Krogh
130
168
0
02 Nov 2020
A Nesterov's Accelerated quasi-Newton method for Global Routing using Deep Reinforcement Learning
S. Indrapriyadarsini
Shahrzad Mahboubi
H. Ninomiya
T. Kamio
H. Asai
21
5
0
15 Oct 2020
Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect
Zheni Zeng
Chaojun Xiao
Yuan Yao
Ruobing Xie
Zhiyuan Liu
Fen Lin
Leyu Lin
Maosong Sun
VLM
70
41
0
19 Sep 2020
Control for Multifunctionality: Bioinspired Control Based on Feeding in Aplysia californica
Victoria A. Webster-Wood
Jeffrey P. Gill
P. Thomas
H. Chiel
123
16
0
11 Aug 2020
Security Issues of Low Power Wide Area Networks in the Context of LoRa Networks
Debraj Basu
Tianbo Gu
P. Mohapatra
29
18
0
30 Jun 2020
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies
Yu Huang
Yue Chen
3DPC
166
85
0
10 Jun 2020
First Neural Conjecturing Datasets and Experiments
Josef Urban
Jan Jakubuv
AIMat
78
39
0
29 May 2020
Explainable Reinforcement Learning: A Survey
Erika Puiutta
Eric M. S. P. Veith
XAI
96
248
0
13 May 2020
A Deep Reinforcement Learning Approach to Efficient Drone Mobility Support
Yun Chen
Xingqin Lin
T. Khan
Mohammad Mozaffari
39
7
0
11 May 2020
Deep Reinforcement Learning for Adaptive Learning Systems
Xiao Li
Hanchen Xu
Jinming Zhang
Hua-Hua Chang
13
32
0
17 Apr 2020
Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology
Stefan Studer
T. Bui
C. Drescher
A. Hanuschkin
Ludwig Winkler
S. Peters
Klaus-Robert Muller
133
180
0
11 Mar 2020
Capsule Network Performance with Autonomous Navigation
Tom Molnar
Eugenio Culurciello
3DPC
17
2
0
08 Feb 2020
End-to-End Vision-Based Adaptive Cruise Control (ACC) Using Deep Reinforcement Learning
Zhensong Wei
Yu Jiang
Xishun Liao
Xuewei Qi
Ziran Wang
Guoyuan Wu
Peng Hao
Matthew Barth
30
10
0
24 Jan 2020
Response to NITRD, NCO, NSF Request for Information on "Update to the 2016 National Artificial Intelligence Research and Development Strategic Plan"
J. Amundson
J. Annis
Camille Avestruz
D. Bowring
J. Caldeira
...
N. Tran
S. Trivedi
L. Trouille
W. L. K. Wu
C. Bom
54
11
0
05 Nov 2019
Deep Reinforcement Learning Based Power control for Wireless Multicast Systems
R. Raghu
Pratheek S. Upadhyaya
M. Panju
Vaneet Aggarwal
V. Sharma
25
11
0
27 Sep 2019
Signal Instructed Coordination in Cooperative Multi-agent Reinforcement Learning
Liheng Chen
Hongyi Guo
Yali Du
Fei Fang
Haifeng Zhang
Yaoming Zhu
Ming Zhou
Weinan Zhang
Qing Wang
Yong Yu
45
8
0
10 Sep 2019
Reinforcement Learning in Healthcare: A Survey
Chao Yu
Jiming Liu
S. Nemati
LM&MA
OffRL
200
579
0
22 Aug 2019
Deep reinforcement learning in World-Earth system models to discover sustainable management strategies
Felix M. Strnad
W. Barfuss
J. Donges
J. Heitzig
50
25
0
15 Aug 2019
Designing Deep Reinforcement Learning for Human Parameter Exploration
Hugo Scurto
Bavo Van Kerrebroeck
Baptiste Caramiaux
Frédéric Bevilacqua
54
22
0
01 Jul 2019
Deep learning control of artificial avatars in group coordination tasks
M. Lombardi
D. Liuzza
M. D. Bernardo
25
8
0
11 Jun 2019
Prioritized Sequence Experience Replay
Marc Brittain
J. R. Bertram
Xuxi Yang
Peng Wei
73
45
0
25 May 2019
Challenges of Real-World Reinforcement Learning
Gabriel Dulac-Arnold
D. Mankowitz
Todd Hester
OffRL
120
552
0
29 Apr 2019
An Introduction to Deep Reinforcement Learning
Vincent François-Lavet
Peter Henderson
Riashat Islam
Marc G. Bellemare
Joelle Pineau
OffRL
AI4CE
173
1,277
0
30 Nov 2018
Neural Approaches to Conversational AI
Jianfeng Gao
Michel Galley
Lihong Li
163
677
0
21 Sep 2018
No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling
Xin Eric Wang
Wenhu Chen
Yuan-fang Wang
William Yang Wang
82
160
0
24 Apr 2018
Feature-Based Aggregation and Deep Reinforcement Learning: A Survey and Some New Implementations
Dimitri Bertsekas
OffRL
81
131
0
12 Apr 2018
Deep Reinforcement Learning using Capsules in Advanced Game Environments
Per-Arne Andersen
68
16
0
29 Jan 2018
DeepPicar: A Low-cost Deep Neural Network-based Autonomous Car
Michael Bechtel
Elise McEllhiney
Minje Kim
H. Yun
85
103
0
19 Dec 2017
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