Deep Reinforcement Learning in Large Discrete Action Spaces

24 December 2015

Papers citing "Deep Reinforcement Learning in Large Discrete Action Spaces"

48 / 98 papers shown

Title
Deep hierarchical reinforcement agents for automated penetration testing Khuong Tran Ashlesha Akella Maxwell Standen Junae Kim David Bowman Toby J. Richer Chin-Teng Lin Institution One 51 38 0 14 Sep 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research J. Luis E. Crawley B. Cameron OffRL 27 6 0 07 Jul 2021
Low-Dimensional State and Action Representation Learning with MDP Homomorphism Metrics N. Botteghi M. Poel B. Sirmaçek C. Brune 24 3 0 04 Jul 2021
Planning Spatial Networks with Monte Carlo Tree Search Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi 29 7 0 12 Jun 2021
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning Daochen Zha Jingru Xie Wenye Ma Sheng Zhang Xiangru Lian Xia Hu Ji Liu 25 117 0 11 Jun 2021
End-to-End Intersection Handling using Multi-Agent Deep Reinforcement Learning Alessandro Paolo Capasso Paolo Maramotti Anthony DellÉva A. Broggi 73 18 0 28 Apr 2021
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks Hao Peng Ruitong Zhang Yingtong Dou Renyu Yang Jingyi Zhang Philip S. Yu 41 115 0 16 Apr 2021
Reversible Action Design for Combinatorial Optimization with Reinforcement Learning Fan Yao Renqin Cai Hongning Wang 38 11 0 14 Feb 2021
Generalization to New Actions in Reinforcement Learning Ayush Jain Andrew Szot Joseph J. Lim AI4CE 35 34 0 03 Nov 2020
Reinforcement Learning with Combinatorial Actions: An Application to Vehicle Routing A. Delarue Ross Anderson Christian Tjandraatmadja 40 94 0 22 Oct 2020
Quality of service based radar resource management using deep reinforcement learning S. Durst S. Brüggenwirth 21 11 0 20 Oct 2020
Integrating LEO Satellites and Multi-UAV Reinforcement Learning for Hybrid FSO/RF Non-Terrestrial Networks Ju-Hyung Lee Jihong Park M. Bennis Young-Chai Ko 38 47 0 20 Oct 2020
RODE: Learning Roles to Decompose Multi-Agent Tasks Tonghan Wang Tarun Gupta Anuj Mahajan Bei Peng Shimon Whiteson Chongjie Zhang OffRL 32 204 0 04 Oct 2020
Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning Daochen Zha Kwei-Herng Lai Mingyang Wan X. Hu 27 52 0 16 Sep 2020
Monte-Carlo Tree Search as Regularized Policy Optimization Jean-Bastien Grill Florent Altché Yunhao Tang Thomas Hubert Michal Valko Ioannis Antonoglou Rémi Munos 29 73 0 24 Jul 2020
A Conceptual Framework for Externally-influenced Agents: An Assisted Reinforcement Learning Review Adam Bignold Francisco Cruz Matthew E. Taylor Tim Brys Richard Dazeley Peter Vamplew Cameron Foale 20 28 0 03 Jul 2020
A Closer Look at Invalid Action Masking in Policy Gradient Algorithms Shengyi Huang Santiago Ontañón 35 310 0 25 Jun 2020
DeepSoCS: A Neural Scheduler for Heterogeneous System-on-Chip (SoC) Resource Scheduling Tegg Taekyong Sung J. Ha Jeewoo Kim Alex Yahja Chae-Bong Sohn Bo Ryu 21 9 0 15 May 2020
Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey Ammar Haydari Y. Yilmaz AI4TS 33 455 0 02 May 2020
Action Space Shaping in Deep Reinforcement Learning Anssi Kanervisto Christian Scheller Ville Hautamaki 27 80 0 02 Apr 2020
An empirical investigation of the challenges of real-world reinforcement learning Gabriel Dulac-Arnold Nir Levine D. Mankowitz Jerry Li Cosmin Paduraru Sven Gowal Todd Hester OffRL 36 121 0 24 Mar 2020
Viewport-Aware Deep Reinforcement Learning Approach for 360 $^o$ Video Caching P. Maniotis N. Thomos 21 33 0 18 Mar 2020
Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies Giulia Zarpellon Jason Jo Andrea Lodi Yoshua Bengio 24 96 0 12 Feb 2020
I love your chain mail! Making knights smile in a fantasy game world: Open-domain goal-oriented dialogue agents Shrimai Prabhumoye Margaret Li Jack Urbanek Emily Dinan Douwe Kiela Jason Weston Arthur Szlam AI4CE 30 14 0 07 Feb 2020
Model-free vision-based shaping of deformable plastic materials A. Cherubini V. Ortenzi Akansel Cosgun Robert Lee Peter Corke 30 37 0 30 Jan 2020
DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering Yuval Heffetz Roman Vainshtein Gilad Katz Lior Rokach 25 39 0 31 Oct 2019
Quantum enhancements for deep reinforcement learning in large spaces Sofiene Jerbi Lea M. Trenkwalder Hendrik Poulsen Nautrup Hans J. Briegel Vedran Dunjko 27 5 0 28 Oct 2019
I'm sorry Dave, I'm afraid I can't do that, Deep Q-learning from forbidden action Mathieu Seurin Philippe Preux Olivier Pietquin 20 12 0 04 Oct 2019
Wield: Systematic Reinforcement Learning With Progressive Randomization Michael Schaarschmidt Kai Fricke Eiko Yoneki 24 2 0 15 Sep 2019
Dynamics-aware Embeddings William F. Whitney Rajat Agarwal Kyunghyun Cho Abhinav Gupta SSL 25 53 0 25 Aug 2019
Convergence of Edge Computing and Deep Learning: A Comprehensive Survey Xiaofei Wang Yiwen Han Victor C. M. Leung Dusit Niyato Xueqiang Yan Xu Chen 24 978 0 19 Jul 2019
Growing Action Spaces Gregory Farquhar Laura Gustafson Zeming Lin Shimon Whiteson Nicolas Usunier Gabriel Synnaeve 14 38 0 28 Jun 2019
Toward Simulating Environments in Reinforcement Learning Based Recommendations Xiangyu Zhao Long Xia Zhuoye Ding Dawei Yin Jiliang Tang 30 25 0 27 Jun 2019
Deep Q-Learning with Q-Matrix Transfer Learning for Novel Fire Evacuation Environment Jivitesh Sharma Per-Arne Andersen Ole-Christoffer Granmo M. G. Olsen AI4CE 41 68 0 23 May 2019
Discretizing Continuous Action Space for On-Policy Optimization Yunhao Tang Shipra Agrawal OffRL 26 118 0 29 Jan 2019
A Theoretical Analysis of Deep Q-Learning Jianqing Fan Zhuoran Yang Yuchen Xie Zhaoran Wang 30 596 0 01 Jan 2019
Deep reinforcement learning for search, recommendation, and online advertising: a survey Xiangyu Zhao Long Xia Jiliang Tang Dawei Yin OffRL 30 82 0 18 Dec 2018
Strong mixed-integer programming formulations for trained neural networks Ross Anderson Joey Huchette Christian Tjandraatmadja J. Vielma 30 251 0 20 Nov 2018
Applications of Deep Reinforcement Learning in Communications and Networking: A Survey Nguyen Cong Luong D. Hoang Shimin Gong Dusit Niyato Ping Wang Ying-Chang Liang Dong In Kim OffRL 57 1,424 0 18 Oct 2018
Learning to Sketch with Deep Q Networks and Demonstrated Strokes Tao Zhou Chen Fang Zhaowen Wang Jimei Yang Byungmoon Kim Zhili Chen Jonathan Brandt Demetri Terzopoulos 25 7 0 14 Oct 2018
Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control Yangchen Pan Amir-massoud Farahmand Martha White S. Nabi P. Grover D. Nikovski 51 18 0 13 Jun 2018
Efficient Entropy for Policy Gradient with Multidimensional Action Space Yiming Zhang Q. Vuong Kenny Song Xiao-Yue Gong Keith Ross 33 17 0 02 Jun 2018
Learning to Evade Static PE Machine Learning Malware Models via Reinforcement Learning Hyrum S. Anderson Anant Kharkar Bobby Filar David Evans P. Roth AAML 38 207 0 26 Jan 2018
Experience-driven Networking: A Deep Reinforcement Learning based Approach Zhiyuan Xu Jian Tang Jingsong Meng Weiyi Zhang Yanzhi Wang C. Liu Dejun Yang OffRL 29 359 0 17 Jan 2018
Action Branching Architectures for Deep Reinforcement Learning Arash Tavakoli Fabio Pardo Petar Kormushev 22 260 0 24 Nov 2017
Deep Reinforcement Learning with Surrogate Agent-Environment Interface Songli Wang Yutao Jing 25 1 0 12 Sep 2017
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 65 2,780 0 19 Aug 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 106 1,505 0 25 Jan 2017