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Dueling Network Architectures for Deep Reinforcement Learning

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
Reincarnating Reinforcement Learning: Reusing Prior Computation to
  Accelerate Progress
Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress
Rishabh Agarwal
Max Schwarzer
P. S. Castro
Aaron C. Courville
Marc G. Bellemare
OffRL
OnRL
26
64
0
03 Jun 2022
Critic Sequential Monte Carlo
Critic Sequential Monte Carlo
Vasileios Lioutas
J. Lavington
Justice Sefas
Matthew Niedoba
Yunpeng Liu
Berend Zwartsenberg
Setareh Dabiri
Frank D. Wood
Adam Scibior
44
7
0
30 May 2022
DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated
  and Musculoskeletal Systems
DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems
Pierre Schumacher
D. Haeufle
Dieter Buchler
S. Schmitt
Georg Martius
15
31
0
30 May 2022
Efficient Reward Poisoning Attacks on Online Deep Reinforcement Learning
Efficient Reward Poisoning Attacks on Online Deep Reinforcement Learning
Yinglun Xu
Qi Zeng
Gagandeep Singh
AAML
30
5
0
30 May 2022
Learning to Solve Combinatorial Graph Partitioning Problems via
  Efficient Exploration
Learning to Solve Combinatorial Graph Partitioning Problems via Efficient Exploration
Thomas D. Barrett
Christopher W. F. Parsonson
Alexandre Laterre
23
10
0
27 May 2022
An Experimental Comparison Between Temporal Difference and Residual
  Gradient with Neural Network Approximation
An Experimental Comparison Between Temporal Difference and Residual Gradient with Neural Network Approximation
Shuyu Yin
Tao Luo
Peilin Liu
Z. Xu
16
2
0
25 May 2022
Deep Reinforcement Learning for Multi-class Imbalanced Training
Deep Reinforcement Learning for Multi-class Imbalanced Training
Jenny Yang
Rasheed el-Bouri
Odhran O'Donoghue
Alexander S. Lachapelle
A. Soltan
David A. Clifton
OffRL
AI4CE
22
10
0
24 May 2022
MetaSlicing: A Novel Resource Allocation Framework for Metaverse
MetaSlicing: A Novel Resource Allocation Framework for Metaverse
N. Chu
D. Hoang
Diep N. Nguyen
Khoa T. Phan
E. Dutkiewicz
Dusist Niyato
Tao Shu
28
45
0
23 May 2022
Distributed Multi-Agent Deep Reinforcement Learning for Robust
  Coordination against Noise
Distributed Multi-Agent Deep Reinforcement Learning for Robust Coordination against Noise
Yoshinari Motokawa
T. Sugawara
22
2
0
19 May 2022
Optimal Adaptive Prediction Intervals for Electricity Load Forecasting
  in Distribution Systems via Reinforcement Learning
Optimal Adaptive Prediction Intervals for Electricity Load Forecasting in Distribution Systems via Reinforcement Learning
Yufan Zhang
Honglin Wen
Qiuwei Wu
Qiang Ai
12
21
0
18 May 2022
Robust Losses for Learning Value Functions
Robust Losses for Learning Value Functions
Andrew Patterson
Victor Liao
Martha White
23
12
0
17 May 2022
CCLF: A Contrastive-Curiosity-Driven Learning Framework for
  Sample-Efficient Reinforcement Learning
CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning
Chenyu Sun
Hangwei Qian
C. Miao
OffRL
24
12
0
02 May 2022
A Survey of Traversability Estimation for Mobile Robots
A Survey of Traversability Estimation for Mobile Robots
Christos Sevastopoulos
S. Konstantopoulos
40
34
0
22 Apr 2022
Learning List-wise Representation in Reinforcement Learning for Ads
  Allocation with Multiple Auxiliary Tasks
Learning List-wise Representation in Reinforcement Learning for Ads Allocation with Multiple Auxiliary Tasks
Zehua Wang
Guogang Liao
Xiaowen Shi
Xiaoxu Wu
Chuheng Zhang
Yongkang Wang
Xingxing Wang
Dong Wang
OffRL
19
4
0
02 Apr 2022
Orchestrated Value Mapping for Reinforcement Learning
Orchestrated Value Mapping for Reinforcement Learning
Mehdi Fatemi
Arash Tavakoli
17
8
0
14 Mar 2022
Multi-robot Cooperative Pursuit via Potential Field-Enhanced
  Reinforcement Learning
Multi-robot Cooperative Pursuit via Potential Field-Enhanced Reinforcement Learning
Zheng-Wei Zhang
Xiaohan Wang
Qingrui Zhang
Tianjiang Hu
29
37
0
09 Mar 2022
Multi-Agent Broad Reinforcement Learning for Intelligent Traffic Light
  Control
Multi-Agent Broad Reinforcement Learning for Intelligent Traffic Light Control
Ruijie Zhu
Lulu Li
Shuning Wu
Pei Lv
Yafai Li
Mingliang Xu
28
48
0
08 Mar 2022
Using Deep Reinforcement Learning with Automatic Curriculum Learning for
  Mapless Navigation in Intralogistics
Using Deep Reinforcement Learning with Automatic Curriculum Learning for Mapless Navigation in Intralogistics
Honghu Xue
Benedikt Hein
M. Bakr
Georg Schildbach
Bengt Abel
Elmar Rueckert
16
15
0
23 Feb 2022
Sequential Bayesian experimental designs via reinforcement learning
Sequential Bayesian experimental designs via reinforcement learning
Hikaru Asano
OffRL
11
0
0
14 Feb 2022
Autonomous Drone Swarm Navigation and Multi-target Tracking in 3D
  Environments with Dynamic Obstacles
Autonomous Drone Swarm Navigation and Multi-target Tracking in 3D Environments with Dynamic Obstacles
Suleman Qamar
Dr. Saddam Hussain Khan
Muhammad Arif Arshad
Maryam Qamar
Asifullah Khan
16
16
0
13 Feb 2022
Uncovering Instabilities in Variational-Quantum Deep Q-Networks
Uncovering Instabilities in Variational-Quantum Deep Q-Networks
Maja Franz
Lucas Wolf
Maniraman Periyasamy
Christian Ufrecht
Daniel D. Scherer
Axel Plinge
Christopher Mutschler
Wolfgang Mauerer
24
29
0
10 Feb 2022
Interpretable pipelines with evolutionarily optimized modules for RL
  tasks with visual inputs
Interpretable pipelines with evolutionarily optimized modules for RL tasks with visual inputs
Leonardo Lucio Custode
Giovanni Iacca
18
13
0
10 Feb 2022
Energy-Aware Edge Association for Cluster-based Personalized Federated
  Learning
Energy-Aware Edge Association for Cluster-based Personalized Federated Learning
Yixuan Li
Xiaoqi Qin
H. Chen
K. Han
Ping Zhang
FedML
25
13
0
06 Feb 2022
Reinforcement learning for multi-item retrieval in the puzzle-based
  storage system
Reinforcement learning for multi-item retrieval in the puzzle-based storage system
Jingxu He
Xinglu Liu
Qiyao Duan
Wai Kin Victor Chan
Mingyao Qi
13
15
0
05 Feb 2022
Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent
  Decision-Making in Mixed Traffic Environments
Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments
Qi Liu
Zirui Li
Xueyuan Li
Jingda Wu
Shihua Yuan
AI4CE
36
8
0
30 Jan 2022
Generative Adversarial Exploration for Reinforcement Learning
Generative Adversarial Exploration for Reinforcement Learning
Weijun Hong
Menghui Zhu
Minghuan Liu
Weinan Zhang
Ming Zhou
Yong Yu
Peng Sun
OnRL
39
7
0
27 Jan 2022
Hybrid Reinforcement Learning-Based Eco-Driving Strategy for Connected
  and Automated Vehicles at Signalized Intersections
Hybrid Reinforcement Learning-Based Eco-Driving Strategy for Connected and Automated Vehicles at Signalized Intersections
Zhengwei Bai
Peng Hao
ShangGuan Wei
B. Cai
Matthew J. Barth
11
100
0
19 Jan 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Jack Parker-Holder
Raghunandan Rajan
Xingyou Song
André Biedenkapp
Yingjie Miao
...
Vu-Linh Nguyen
Roberto Calandra
Aleksandra Faust
Frank Hutter
Marius Lindauer
AI4CE
33
100
0
11 Jan 2022
Scientific Discovery and the Cost of Measurement -- Balancing
  Information and Cost in Reinforcement Learning
Scientific Discovery and the Cost of Measurement -- Balancing Information and Cost in Reinforcement Learning
C. Bellinger
Andriy Drozdyuk
Mark Crowley
Isaac Tamblyn
OffRL
14
7
0
14 Dec 2021
Attention-Based Model and Deep Reinforcement Learning for Distribution
  of Event Processing Tasks
Attention-Based Model and Deep Reinforcement Learning for Distribution of Event Processing Tasks
A. Mazayev
F. Al-Tam
N. Correia
21
5
0
07 Dec 2021
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical
  Reinforcement Learning
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning
Zichuan Lin
Junyou Li
Jianing Shi
Deheng Ye
Qiang Fu
Wei Yang
BDL
32
34
0
07 Dec 2021
Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement
  Learning
Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning
Wenjie Shi
Gao Huang
Shiji Song
Cheng Wu
31
9
0
06 Dec 2021
A Generic Graph Sparsification Framework using Deep Reinforcement
  Learning
A Generic Graph Sparsification Framework using Deep Reinforcement Learning
Ryan Wickman
Xiaofei Zhang
Weizi Li
OffRL
23
13
0
02 Dec 2021
Reinforcement Learning-based Switching Controller for a Milliscale Robot
  in a Constrained Environment
Reinforcement Learning-based Switching Controller for a Milliscale Robot in a Constrained Environment
Abbas Tariverdi
Ulysse Côté-Allard
Kim Mathiassen
O. Elle
H. Kalvøy
Ø. Martinsen
J. Tørresen
14
4
0
27 Nov 2021
Obstacle Avoidance for UAS in Continuous Action Space Using Deep
  Reinforcement Learning
Obstacle Avoidance for UAS in Continuous Action Space Using Deep Reinforcement Learning
Jueming Hu
Xuxi Yang
Weichang Wang
Peng Wei
Lei Ying
Yongming Liu
27
24
0
13 Nov 2021
CubeTR: Learning to Solve The Rubiks Cube Using Transformers
Mustafa Chasmai
ViT
26
1
0
11 Nov 2021
Multi-Agent Deep Reinforcement Learning For Optimising Energy Efficiency
  of Fixed-Wing UAV Cellular Access Points
Multi-Agent Deep Reinforcement Learning For Optimising Energy Efficiency of Fixed-Wing UAV Cellular Access Points
Boris Galkin
Babatunji Omoniwa
Ivana Dusparic
20
9
0
03 Nov 2021
Mastering Atari Games with Limited Data
Mastering Atari Games with Limited Data
Weirui Ye
Shao-Wei Liu
Thanard Kurutach
Pieter Abbeel
Yang Gao
VLM
40
222
0
30 Oct 2021
Bayesian Sequential Optimal Experimental Design for Nonlinear Models
  Using Policy Gradient Reinforcement Learning
Bayesian Sequential Optimal Experimental Design for Nonlinear Models Using Policy Gradient Reinforcement Learning
Wanggang Shen
Xun Huan
11
39
0
28 Oct 2021
Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment
Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment
T. Luu
Chang-Dong Yoo
10
8
0
28 Oct 2021
Explaining Deep Reinforcement Learning Agents In The Atari Domain
  through a Surrogate Model
Explaining Deep Reinforcement Learning Agents In The Atari Domain through a Surrogate Model
Alexander Sieusahai
Matthew J. Guzdial
27
13
0
07 Oct 2021
Optimized Recommender Systems with Deep Reinforcement Learning
Optimized Recommender Systems with Deep Reinforcement Learning
Lucas Farris
OffRL
14
0
0
06 Oct 2021
On The Transferability of Deep-Q Networks
On The Transferability of Deep-Q Networks
M. Sabatelli
Pierre Geurts
29
2
0
06 Oct 2021
Deep reinforcement learning for guidewire navigation in coronary artery
  phantom
Deep reinforcement learning for guidewire navigation in coronary artery phantom
Jihoon Kweon
Kyunghwan Kim
Chaehyuk Lee
Hwi Kwon
Jinwoo Park
...
Inwook Back
J. Roh
Y. Moon
Jaesoon Choi
Young-Hak Kim
OnRL
16
33
0
05 Oct 2021
Multi-Agent Path Planning Using Deep Reinforcement Learning
Multi-Agent Path Planning Using Deep Reinforcement Learning
M. Çetinkaya
27
2
0
04 Oct 2021
On the Estimation Bias in Double Q-Learning
On the Estimation Bias in Double Q-Learning
Zhizhou Ren
Guangxiang Zhu
Haotian Hu
Beining Han
Jian-Hai Chen
Chongjie Zhang
16
17
0
29 Sep 2021
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning
  Research
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
Mikayel Samvelyan
Robert Kirk
Vitaly Kurin
Jack Parker-Holder
Minqi Jiang
Eric Hambro
Fabio Petroni
Heinrich Küttler
Edward Grefenstette
Tim Rocktaschel
OffRL
238
89
0
27 Sep 2021
Improved Soft Actor-Critic: Mixing Prioritized Off-Policy Samples with
  On-Policy Experience
Improved Soft Actor-Critic: Mixing Prioritized Off-Policy Samples with On-Policy Experience
C. Banerjee
Zhiyong Chen
N. Noman
9
30
0
24 Sep 2021
Benchmarking Lane-changing Decision-making for Deep Reinforcement
  Learning
Benchmarking Lane-changing Decision-making for Deep Reinforcement Learning
Junjie Wang
Qichao Zhang
Dongbin Zhao
OffRL
22
1
0
22 Sep 2021
Carl-Lead: Lidar-based End-to-End Autonomous Driving with Contrastive
  Deep Reinforcement Learning
Carl-Lead: Lidar-based End-to-End Autonomous Driving with Contrastive Deep Reinforcement Learning
Peide Cai
Sukai Wang
Hengli Wang
Ming-Yu Liu
AI4TS
22
15
0
17 Sep 2021
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