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1712.04603
Cited By
Multi-focus Attention Network for Efficient Deep Reinforcement Learning
13 December 2017
Jinyoung Choi
Beom-Jin Lee
Byoung-Tak Zhang
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Papers citing
"Multi-focus Attention Network for Efficient Deep Reinforcement Learning"
25 / 25 papers shown
Optimizing Sensory Neurons: Nonlinear Attention Mechanisms for Accelerated Convergence in Permutation-Invariant Neural Networks for Reinforcement Learning
Junaid Muzaffar
Ahsan Adeel
K. Ahmed
Ingo Frommholz
Zeeshan Pervez
329
0
0
31 May 2025
Pay Attention to What and Where? Interpretable Feature Extractor in Vision-based Deep Reinforcement Learning
Tien Pham
Angelo Cangelosi
210
2
0
14 Apr 2025
Enhancing Interpretability in Deep Reinforcement Learning through Semantic Clustering
Liang Zhang
Justin Lieffers
A. Pyarelal
452
0
0
25 Sep 2024
Leveraging Reward Consistency for Interpretable Feature Discovery in Reinforcement Learning
Qisen Yang
Huanqian Wang
Mukun Tong
Wenjie Shi
Gao Huang
Shiji Song
235
5
0
04 Sep 2023
Interpretability for Conditional Coordinated Behavior in Multi-Agent Reinforcement Learning
IEEE International Joint Conference on Neural Network (IJCNN), 2023
Yoshinari Motokawa
T. Sugawara
AI4CE
109
3
0
20 Apr 2023
Goal-Conditioned Q-Learning as Knowledge Distillation
AAAI Conference on Artificial Intelligence (AAAI), 2022
Alexander Levine
Soheil Feizi
OffRL
336
3
0
28 Aug 2022
Evolving Modular Soft Robots without Explicit Inter-Module Communication using Local Self-Attention
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2022
F. Pigozzi
Yujin Tang
Eric Medvet
David R Ha
244
27
0
13 Apr 2022
Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Wenjie Shi
Gao Huang
Shiji Song
Cheng Wu
167
13
0
06 Dec 2021
Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2021
Kibeom Kim
Min Whoo Lee
Yoonsung Kim
Je-hwan Ryu
Minsu Lee
Byoung-Tak Zhang
182
9
0
25 Oct 2021
The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2021
Yujin Tang
David R Ha
288
82
0
07 Sep 2021
Joint Attention for Multi-Agent Coordination and Social Learning
Dennis Lee
Natasha Jaques
Chase Kew
Jiaxing Wu
Douglas Eck
Dale Schuurmans
Aleksandra Faust
142
8
0
15 Apr 2021
Empirically Verifying Hypotheses Using Reinforcement Learning
Kenneth Marino
Rob Fergus
Arthur Szlam
Abhinav Gupta
OffRL
111
2
0
29 Jun 2020
Human and Multi-Agent collaboration in a human-MARL teaming framework
N. Navidi
Francois Chabot
Sagar Kurandwad
Irv Lustigman
Vincent Robert
Gregory Szriftgiser
Andrea Schuch
109
2
0
12 Jun 2020
Parallel Knowledge Transfer in Multi-Agent Reinforcement Learning
Yongyuan Liang
Bangwei Li
116
12
0
29 Mar 2020
Neuroevolution of Self-Interpretable Agents
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2020
Yujin Tang
Duong Nguyen
David R Ha
280
117
0
18 Mar 2020
Self-Supervised Discovering of Interpretable Features for Reinforcement Learning
Wenjie Shi
Gao Huang
Shiji Song
Zhuoyuan Wang
Tingyu Lin
Cheng Wu
SSL
274
19
0
16 Mar 2020
Zero-Shot Reinforcement Learning with Deep Attention Convolutional Neural Networks
Sahika Genc
S. Mallya
S. Bodapati
Tao Sun
Yunzhe Tao
141
6
0
02 Jan 2020
Towards Robust Image Classification Using Sequential Attention Models
Computer Vision and Pattern Recognition (CVPR), 2019
Daniel Zoran
Mike Chrzanowski
Po-Sen Huang
Sven Gowal
Alex Mott
Pushmeet Kohli
AAML
153
69
0
04 Dec 2019
Attention-Privileged Reinforcement Learning
Conference on Robot Learning (CoRL), 2019
Sasha Salter
Dushyant Rao
Markus Wulfmeier
R. Hadsell
Ingmar Posner
238
8
0
19 Nov 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
Afshin Oroojlooyjadid
Davood Hajinezhad
620
535
0
11 Aug 2019
Free-Lunch Saliency via Attention in Atari Agents
Dmitry Nikulin
A. Ianina
Vladimir Aliev
Sergey I. Nikolenko
FAtt
173
27
0
07 Aug 2019
Towards Interpretable Reinforcement Learning Using Attention Augmented Agents
Neural Information Processing Systems (NeurIPS), 2019
Alex Mott
Daniel Zoran
Mike Chrzanowski
Daan Wierstra
Danilo Jimenez Rezende
276
201
0
06 Jun 2019
Reinforcement Learning with Attention that Works: A Self-Supervised Approach
Anthony Manchin
Ehsan Abbasnejad
Anton Van Den Hengel
182
65
0
06 Apr 2019
Attention in Natural Language Processing
Andrea Galassi
Marco Lippi
Paolo Torroni
GNN
436
551
0
04 Feb 2019
Actor-Attention-Critic for Multi-Agent Reinforcement Learning
Shariq Iqbal
Fei Sha
324
877
0
05 Oct 2018
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