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1511.06581
Cited By
Dueling Network Architectures for Deep Reinforcement Learning
20 November 2015
Ziyun Wang
Tom Schaul
Matteo Hessel
H. V. Hasselt
Marc Lanctot
Nando de Freitas
OffRL
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Papers citing
"Dueling Network Architectures for Deep Reinforcement Learning"
50 / 362 papers shown
Title
SocNavGym: A Reinforcement Learning Gym for Social Navigation
Aditya Kapoor
Sushant Swamy
Luis J. Manso
P. Bachiller
47
2
0
27 Apr 2023
Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective
Yiming Gao
Feiyu Liu
Liang Wang
Zhenjie Lian
Weixuan Wang
...
Jiawei Wang
Qiang Fu
Wei Yang
Lanxiao Huang
Wei Liu
34
6
0
23 Apr 2023
Autonomous Agent for Beyond Visual Range Air Combat: A Deep Reinforcement Learning Approach
Joao P. A. Dantas
Marcos R. O. A. Máximo
Takashi Yoneyama
13
4
0
19 Apr 2023
Boundary-aware Supervoxel-level Iteratively Refined Interactive 3D Image Segmentation with Multi-agent Reinforcement Learning
Chaofan Ma
Qisen Xu
Xiangfeng Wang
Bo Jin
Xiaoyun Zhang
Yanfeng Wang
Ya-Qin Zhang
29
22
0
19 Mar 2023
Conversational Tree Search: A New Hybrid Dialog Task
Dirk Vath
Lindsey Vanderlyn
Ngoc Thang Vu
45
7
0
17 Mar 2023
RACCER: Towards Reachable and Certain Counterfactual Explanations for Reinforcement Learning
Jasmina Gajcin
Ivana Dusparic
CML
24
3
0
08 Mar 2023
Reinforcement Learning Based Self-play and State Stacking Techniques for Noisy Air Combat Environment
A. Tasbas
S. O. Sahin
N. K. Üre
15
3
0
06 Mar 2023
Double A3C: Deep Reinforcement Learning on OpenAI Gym Games
Yangxin Zhong
Jiajie He
Ling-Xue Kong
OffRL
8
2
0
04 Mar 2023
Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning
A. Castagna
Ivana Dusparic
OffRL
16
2
0
02 Mar 2023
Model-based Constrained MDP for Budget Allocation in Sequential Incentive Marketing
Shuai Xiao
Le Guo
Zaifan Jiang
Lei Lv
Yuanbo Chen
Jun Zhu
Shuang Yang
19
21
0
02 Mar 2023
MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization
Yongsheng Mei
Hanhan Zhou
Tian-Shing Lan
Guru Venkataramani
Peng Wei
39
38
0
21 Feb 2023
Robot path planning using deep reinforcement learning
Miguel Quinones-Ramirez
Jorge Ríos-Martínez
Víctor Uc Cetina
SSL
17
5
0
17 Feb 2023
Guiding Pretraining in Reinforcement Learning with Large Language Models
Yuqing Du
Olivia Watkins
Zihan Wang
Cédric Colas
Trevor Darrell
Pieter Abbeel
Abhishek Gupta
Jacob Andreas
LM&Ro
21
174
0
13 Feb 2023
Modeling human road crossing decisions as reward maximization with visual perception limitations
Yueyang Wang
Aravinda Ramakrishnan Srinivasan
Jussi P. P. Jokinen
Antti Oulasvirta
Gustav Markkula
23
4
0
27 Jan 2023
A Survey of Meta-Reinforcement Learning
Jacob Beck
Risto Vuorio
E. Liu
Zheng Xiong
L. Zintgraf
Chelsea Finn
Shimon Whiteson
OOD
OffRL
37
122
0
19 Jan 2023
Self-Motivated Multi-Agent Exploration
Shaowei Zhang
Jiahan Cao
Lei Yuan
Yang Yu
De-Chuan Zhan
41
5
0
05 Jan 2023
PPO-UE: Proximal Policy Optimization via Uncertainty-Aware Exploration
Qisheng Zhang
Zhen Guo
A. Jøsang
Lance M. Kaplan
F. Chen
Dong-Ho Jeong
Jin-Hee Cho
15
0
0
13 Dec 2022
Learning Physically Realizable Skills for Online Packing of General 3D Shapes
Hang Zhao
Zherong Pan
Yang Yu
Kai Xu
OffRL
31
13
0
05 Dec 2022
On-device Training: A First Overview on Existing Systems
Shuai Zhu
Thiemo Voigt
Jeonggil Ko
Fatemeh Rahimian
34
14
0
01 Dec 2022
Representation Learning for Continuous Action Spaces is Beneficial for Efficient Policy Learning
Tingting Zhao
Ying Wang
Weidong Sun
Yarui Chen
Gang Niu
Masashi Sugiyama
19
1
0
23 Nov 2022
Giving Feedback on Interactive Student Programs with Meta-Exploration
E. Liu
Moritz Stephan
Allen Nie
Chris Piech
Emma Brunskill
Chelsea Finn
AI4Ed
30
8
0
16 Nov 2022
Boosting Object Representation Learning via Motion and Object Continuity
Quentin Delfosse
Wolfgang Stammer
Thomas Rothenbacher
Dwarak Vittal
Kristian Kersting
OCL
37
20
0
16 Nov 2022
Vision-based navigation and obstacle avoidance via deep reinforcement learning
P. Blum
Peter Crowley
G. Lykotrafitis
14
2
0
09 Nov 2022
Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges
Qi Liu
Xueyuan Li
Zirui Li
Jingda Wu
Guodong Du
Xinlu Gao
Fan Yang
Shihua Yuan
41
8
0
06 Nov 2022
Path Planning Using Wassertein Distributionally Robust Deep Q-learning
Cem Alptürk
Venkatraman Renganathan
OOD
16
0
0
04 Nov 2022
A Survey on Reinforcement Learning in Aviation Applications
Pouria Razzaghi
Amin Tabrizian
Wei Guo
Shulu Chen
Abenezer Taye
Ellis E. Thompson
Alexis Bregeon
Ali Baheri
Peng Wei
OffRL
21
52
0
03 Nov 2022
Sensor Control for Information Gain in Dynamic, Sparse and Partially Observed Environments
J. Burns
A. Sundaresan
Pedro Sequeira
Vidyasagar Sadhu
16
0
0
03 Nov 2022
A Bibliometric Analysis and Review on Reinforcement Learning for Transportation Applications
Can Li
Lei Bai
L. Yao
S. Waller
Wei Liu
35
14
0
26 Oct 2022
Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities
Jasmina Gajcin
Ivana Dusparic
CML
OffRL
35
8
0
21 Oct 2022
ProSky: NEAT Meets NOMA-mmWave in the Sky of 6G
Ahmed Benfaid
N. Adem
Abdurrahman Elmaghbub
16
1
0
13 Oct 2022
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning
Yongyuan Liang
Yanchao Sun
Ruijie Zheng
Furong Huang
OOD
AAML
OffRL
20
47
0
12 Oct 2022
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning
Guozheng Ma
Zhen Wang
Zhecheng Yuan
Xueqian Wang
Bo Yuan
Dacheng Tao
OffRL
35
26
0
10 Oct 2022
Hyperbolic Deep Reinforcement Learning
Edoardo Cetin
B. Chamberlain
Michael M. Bronstein
Jonathan J. Hunt
43
20
0
04 Oct 2022
Bayesian Q-learning With Imperfect Expert Demonstrations
Fengdi Che
Xiru Zhu
Doina Precup
D. Meger
Gregory Dudek
14
2
0
01 Oct 2022
Reinforcement Learning Algorithms: An Overview and Classification
Fadi AlMahamid
Katarina Grolinger
16
40
0
29 Sep 2022
Resource Allocation for Mobile Metaverse with the Internet of Vehicles over 6G Wireless Communications: A Deep Reinforcement Learning Approach
Terence Jie Chua
Wen-li Yu
Jun Zhao
24
16
0
27 Sep 2022
Pretraining the Vision Transformer using self-supervised methods for vision based Deep Reinforcement Learning
Manuel Goulão
Arlindo L. Oliveira
ViT
33
6
0
22 Sep 2022
MAN: Multi-Action Networks Learning
Keqin Wang
Alison Bartsch
A. Farimani
14
3
0
19 Sep 2022
Self-Optimizing Feature Transformation
Meng Xiao
Dongjie Wang
Min-Ying Wu
Kunpeng Liu
Hui Xiong
Yuanchun Zhou
Yanjie Fu
30
3
0
16 Sep 2022
M
2
^2
2
DQN: A Robust Method for Accelerating Deep Q-learning Network
Zhe Zhang
Yukun Zou
Junjie Lai
Qinglong Xu
11
4
0
16 Sep 2022
Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks
Litian Liang
Yaosheng Xu
Stephen Marcus McAleer
Dailin Hu
Alexander Ihler
Pieter Abbeel
Roy Fox
OOD
14
16
0
16 Sep 2022
Reward Delay Attacks on Deep Reinforcement Learning
Anindya Sarkar
Jiarui Feng
Yevgeniy Vorobeychik
Christopher Gill
Ning Zhang
AAML
13
6
0
08 Sep 2022
Prediction Based Decision Making for Autonomous Highway Driving
Mustafa Yildirim
Sajjad Mozaffari
Lucy McCutcheon
M. Dianati
Alireza Tamaddoni-Nezhad Saber Fallah
16
7
0
05 Sep 2022
Distributed Ensembles of Reinforcement Learning Agents for Electricity Control
Pierrick Pochelu
S. Petiton
B. Conche
AI4CE
25
2
0
30 Aug 2022
DRL-M4MR: An Intelligent Multicast Routing Approach Based on DQN Deep Reinforcement Learning in SDN
Chenwei Zhao
Miao Ye
Xingsi Xue
Jianhui Lv
Qiuxiang Jiang
Yong Wang
11
17
0
31 Jul 2022
Asynchronous Curriculum Experience Replay: A Deep Reinforcement Learning Approach for UAV Autonomous Motion Control in Unknown Dynamic Environments
Zijian Hu
Xiao-guang Gao
Kaifang Wan
Qianglong Wang
Yiwei Zhai
34
10
0
04 Jul 2022
Agent with Tangent-based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound
Yuxin Zou
Haoran Dou
Yuhao Huang
Xin Yang
Jikuan Qian
...
Nishant Ravikumar
Guoqiang Chen
Weijun Huang
Alejandro F. Frangi
Dong Ni
MedIm
28
7
0
01 Jul 2022
Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach
Syrine Belakaria
J. Doppa
Nicolò Fusi
Rishit Sheth
18
7
0
25 Jun 2022
A Search-Based Testing Approach for Deep Reinforcement Learning Agents
Amirhossein Zolfagharian
Manel Abdellatif
Lionel C. Briand
M. Bagherzadeh
Ramesh S
37
27
0
15 Jun 2022
Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels?
Xiang Li
Jinghuan Shang
Srijan Das
Michael S. Ryoo
SSL
27
31
0
10 Jun 2022
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