Deep Attention Recurrent Q-Network

5 December 2015

Papers citing "Deep Attention Recurrent Q-Network"

50 / 61 papers shown

Title
Playing Atari Space Invaders with Sparse Cosine Optimized Policy Evolution Jim O'Connor Jay B. Nash Derin Gezgin Gary B Parker 116 0 0 11 Aug 2025
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 234 0 0 31 May 2025
Bi-directional Recurrence Improves Transformer in Partially Observable Markov Decision Processes Ashok Arora Neetesh Kumar 171 0 0 16 May 2025
Pay Attention to What and Where? Interpretable Feature Extractor in Vision-based Deep Reinforcement Learning Tien Pham Angelo Cangelosi 170 1 0 14 Apr 2025
Unraveling the Complexity of Memory in RL Agents: an Approach for Classification and Evaluation Egor Cherepanov Nikita Kachaev Artem Zholus A. Kovalev Aleksandr I. Panov 166 3 0 09 Dec 2024
Portfolio Management using Deep Reinforcement Learning Ashish Anil Pawar Vishnureddy Prashant Muskawar Ritesh Tiku AIFin 95 1 0 01 May 2024
RigLSTM: Recurrent Independent Grid LSTM for Generalizable Sequence Learning Ziyu Wang Wenhao Jiang Zixuan Zhang Wei Tang Junchi Yan 153 0 0 03 Nov 2023
FRAMU: Attention-based Machine Unlearning using Federated Reinforcement LearningIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023 T. Shaik Xiaohui Tao Lin Li Haoran Xie Taotao Cai Xiaofeng Zhu Qingyuan Li MU 206 25 0 19 Sep 2023
Automatic Deduction Path Learning via Reinforcement Learning with Environmental Correction Shuai Xiao Chen Pan Min Wang Xinxin Zhu Siqiao Xue Jing Wang Yun Hu James Y. Zhang Jinghua Feng OffRL 115 2 0 16 Jun 2023
Approximate information state based convergence analysis of recurrent Q-learning Erfan Seyedsalehi N. Akbarzadeh Amit Sinha Aditya Mahajan 159 6 0 09 Jun 2023
Active Vision Reinforcement Learning under Limited Visual ObservabilityNeural Information Processing Systems (NeurIPS), 2023 Jinghuan Shang Michael S. Ryoo 221 0 0 01 Jun 2023
Transformer in Transformer as Backbone for Deep Reinforcement Learning Hangyu Mao Rui Zhao Hao Chen Jianye Hao Yiqun Chen Dong Li Junge Zhang Zhen Xiao OffRL 150 9 0 30 Dec 2022
Don't Watch Me: A Spatio-Temporal Trojan Attack on Deep-Reinforcement-Learning-Augment Autonomous Driving Yinbo Yu Jiajia Liu 131 4 0 22 Nov 2022
On learning history based policies for controlling Markov decision processesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Gandharv Patil Aditya Mahajan Doina Precup OffRL 167 5 0 06 Nov 2022
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey Huiyun Cao Wenlong Zou Yinkun Wang Ting Song Mengjun Liu AAML 223 6 0 19 Oct 2022
Visual Explanation of Deep Q-Network for Robot Navigation by Fine-tuning Attention Branch Yuya Maruyama Hiroshi Fukui Tsubasa Hirakawa Takayoshi Yamashita H. Fujiyoshi K. Sugiura 126 1 0 18 Aug 2022
Deep Reinforcement Learning with Swin TransformersInternational Conference on Digital Signal Processing (DSP), 2022 Li Meng Morten Goodwin Anis Yazidi P. Engelstad ViT 290 5 0 30 Jun 2022
Deep Transformer Q-Networks for Partially Observable Reinforcement Learning Kevin Esslinger Robert Platt Chris Amato OffRL 231 46 0 02 Jun 2022
Action Candidate Driven Clipped Double Q-learning for Discrete and Continuous Action TasksIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022 Qianliang Wu Jin Xie Jian Yang OffRL 96 23 0 22 Mar 2022
Adaptive Environment Modeling Based Reinforcement Learning for Collision Avoidance in Complex ScenesIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022 Shuaijun Wang R. Gao Ruihua Han Shengduo Chen Chengyang Li Qi Hao 110 17 0 15 Mar 2022
Improving Sample Efficiency of Value Based Models Using Attention and Vision Transformers Amir Ardalan Kalantari Mohammad Amini Sarath Chandar Doina Precup 125 4 0 01 Feb 2022
Attention Option-Critic Raviteja Chunduru Doina Precup 154 11 0 07 Jan 2022
Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Wenjie Shi Gao Huang Shiji Song Cheng Wu 135 13 0 06 Dec 2021
The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2021 Yujin Tang David R Ha 224 82 0 07 Sep 2021
Pretrained Encoders are All You Need Mina Khan P. Srivatsa Advait Rane Shriram Chenniappa Rishabh Anand Sherjil Ozair Pattie Maes SSL VLM 161 6 0 09 Jun 2021
Neural Networks and Denotation E. Allen 81 0 0 15 Mar 2021
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics ModelIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021 Thanh Nguyen Tung M. Luu Thang Vu Chang D. Yoo 116 19 0 15 Mar 2021
Visual Explanation using Attention Mechanism in Actor-Critic-based Deep Reinforcement LearningIEEE International Joint Conference on Neural Network (IJCNN), 2021 Hidenori Itaya Tsubasa Hirakawa Takayoshi Yamashita H. Fujiyoshi K. Sugiura 117 23 0 06 Mar 2021
A Survey on Deep Reinforcement Learning for Audio-Based ApplicationsArtificial Intelligence Review (AIR), 2021 S. Latif Heriberto Cuayáhuitl Farrukh Pervez Fahad Shamshad Hafiz Shehbaz Ali Xiaoshi Zhong OffRL 283 86 0 01 Jan 2021
Are Gradient-based Saliency Maps Useful in Deep Reinforcement Learning? Matthias Rosynski Frank Kirchner Matias Valdenegro-Toro FAtt 118 14 0 02 Dec 2020
Selective Particle Attention: Visual Feature-Based Attention in Deep Reinforcement Learning Sam Blakeman D. Mareschal 111 2 0 26 Aug 2020
Modular Transfer Learning with Transition Mismatch Compensation for Excessive Disturbance RejectionInternational Journal of Machine Learning and Cybernetics (IJMLC), 2020 Tianming Wang Wenjie Lu H. Yu Dikai Liu 158 1 0 29 Jul 2020
Attention or memory? Neurointerpretable agents in space and time Lennart Bramlage A. Cortese 118 1 0 09 Jul 2020
Neuroevolution of Self-Interpretable AgentsAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2020 Yujin Tang Duong Nguyen David R Ha 247 116 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 146 19 0 16 Mar 2020
Review, Analysis and Design of a Comprehensive Deep Reinforcement Learning Framework Ngoc Duy Nguyen Thanh Thi Nguyen Hai V. Nguyen Doug Creighton S. Nahavandi 283 3 0 27 Feb 2020
A Visual Communication Map for Multi-Agent Deep Reinforcement Learning Ngoc Duy Nguyen Thanh Thi Nguyen Doug Creighton S. Nahavandi 90 6 0 27 Feb 2020
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement LearningIEEE Transactions on Artificial Intelligence (IEEE TAI), 2020 Inaam Ilahi Muhammad Usama Junaid Qadir M. Janjua Ala I. Al-Fuqaha D. Hoang Dusit Niyato AAML 271 170 0 27 Jan 2020
Attention-Privileged Reinforcement LearningConference on Robot Learning (CoRL), 2019 Sasha Salter Dushyant Rao Markus Wulfmeier R. Hadsell Ingmar Posner 198 8 0 19 Nov 2019
Influence-aware Memory Architectures for Deep Reinforcement Learning Miguel Suau Jinke He E. Congeduti Rolf A. N. Starre A. Czechowski F. Oliehoek 150 5 0 18 Nov 2019
Free-Lunch Saliency via Attention in Atari Agents Dmitry Nikulin A. Ianina Vladimir Aliev Sergey I. Nikolenko FAtt 140 27 0 07 Aug 2019
Towards Interpretable Reinforcement Learning Using Attention Augmented AgentsNeural Information Processing Systems (NeurIPS), 2019 Alex Mott Daniel Zoran Mike Chrzanowski Daan Wierstra Danilo Jimenez Rezende 214 200 0 06 Jun 2019
Compression and Localization in Reinforcement Learning for ATARI Games Joel Ruben Antony Moniz Barun Patra Sarthak Garg AI4CE 124 3 0 20 Apr 2019
Reinforcement Learning with Attention that Works: A Self-Supervised Approach Anthony Manchin Ehsan Abbasnejad Anton Van Den Hengel 130 63 0 06 Apr 2019
Deep Recurrent Q-Learning vs Deep Q-Learning on a simple Partially Observable Markov Decision Process with Minecraft Clément Romac Vincent Béraud 102 5 0 11 Mar 2019
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications Thanh Thi Nguyen Ngoc Duy Nguyen S. Nahavandi 262 907 0 31 Dec 2018
Learn to Interpret Atari Agents Zhao Yang S. Bai Li Zhang Juil Sock 167 30 0 29 Dec 2018
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents F. Such Vashisht Madhavan Rosanne Liu Rui Wang Pablo Samuel Castro ... Jiale Zhi Ludwig Schubert Marc G. Bellemare Jeff Clune Joel Lehman OffRL 133 54 0 17 Dec 2018
An initial attempt of combining visual selective attention with deep reinforcement learning Liu Yuezhang Ruohan Zhang D. Ballard 161 21 0 11 Nov 2018
Action Representations in Robotics: A Taxonomy and Systematic Classification P. Zech Erwan Renaudo Simon Haller Xiang Zhang J. Piater 112 19 0 12 Sep 2018