Deep Recurrent Q-Learning for Partially Observable MDPs

23 July 2015

Papers citing "Deep Recurrent Q-Learning for Partially Observable MDPs"

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Title
A Review of Cooperative Multi-Agent Deep Reinforcement Learning Afshin Oroojlooyjadid Davood Hajinezhad 48 412 0 11 Aug 2019
Free-Lunch Saliency via Attention in Atari Agents Dmitry Nikulin A. Ianina Vladimir Aliev Sergey I. Nikolenko FAtt 12 24 0 07 Aug 2019
Age of Information-Aware Radio Resource Management in Vehicular Networks: A Proactive Deep Reinforcement Learning Perspective Xianfu Chen Celimuge Wu Tao Chen Honggang Zhang Zhi Liu Yan Zhang M. Bennis 11 139 0 06 Aug 2019
Batch Recurrent Q-Learning for Backchannel Generation Towards Engaging Agents Nusrah Hussain E. Erzin T. Metin Sezgin Y. Yemez OffRL 14 7 0 06 Aug 2019
Improving Deep Reinforcement Learning in Minecraft with Action Advice Spencer Frazier Mark O. Riedl 11 28 0 02 Aug 2019
Optimal Attacks on Reinforcement Learning Policies Alessio Russo Alexandre Proutière AAML 11 41 0 31 Jul 2019
Deep Reinforcement Learning for Clinical Decision Support: A Brief Survey Siqi Liu K. Ngiam Mengling Feng LM&MA OffRL 14 18 0 22 Jul 2019
Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges Lei Lei Yue Tan Kan Zheng Shiwen Liu K. Zheng Xuemin Shen Shen OffRL 21 202 0 22 Jul 2019
Convolutional Reservoir Computing for World Models Hanten Chang K. Futagami 18 4 0 18 Jul 2019
DOB-Net: Actively Rejecting Unknown Excessive Time-Varying Disturbances Tianming Wang Wenjie Lu Zheng Yan Dikai Liu 26 4 0 10 Jul 2019
Partially Observable Planning and Learning for Systems with Non-Uniform Dynamics Nicholas Collins H. Kurniawati 14 0 0 09 Jul 2019
Perspective Taking in Deep Reinforcement Learning Agents Aqeel Labash Jaan Aru Tambet Matiisen Ardi Tampuu Raul Vicente LRM 19 11 0 03 Jul 2019
Visual analytics for team-based invasion sports with significant events and Markov reward process Kun-li Zhao Takayuki Osogami Tetsuro Morimura 14 2 0 02 Jul 2019
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model Alex X. Lee Anusha Nagabandi Pieter Abbeel Sergey Levine OffRL BDL 25 371 0 01 Jul 2019
Learning Causal State Representations of Partially Observable Environments Amy Zhang Zachary Chase Lipton Luis Villaseñor-Pineda Kamyar Azizzadenesheli Anima Anandkumar Laurent Itti Joelle Pineau Tommaso Furlanello CML 27 49 0 25 Jun 2019
Learning to Interactively Learn and Assist Mark P. Woodward Chelsea Finn Karol Hausman 11 33 0 24 Jun 2019
Training an Interactive Helper Mark P. Woodward Chelsea Finn Karol Hausman 27 1 0 24 Jun 2019
Learning Belief Representations for Imitation Learning in POMDPs Tanmay Gangwani Joel Lehman Qiang Liu Jian Peng 24 36 0 22 Jun 2019
Multigrid Neural Memory T. Huynh Michael Maire Matthew R. Walter 6 9 0 13 Jun 2019
Exploration with Unreliable Intrinsic Reward in Multi-Agent Reinforcement Learning Wendelin Bohmer Tabish Rashid Shimon Whiteson 8 24 0 05 Jun 2019
Decentralized Deep Reinforcement Learning for Delay-Power Tradeoff in Vehicular Communications Xianfu Chen Celimuge Wu Honggang Zhang Yan Zhang M. Bennis Heli Vuojala 13 3 0 03 Jun 2019
Learning distant cause and effect using only local and immediate credit assignment D. Rawlinson Abdelrahman Ahmed Gideon Kowadlo 10 3 0 28 May 2019
Optimizing Sequential Medical Treatments with Auto-Encoding Heuristic Search in POMDPs Luchen Li Matthieu Komorowski Aldo A. Faisal OffRL 21 13 0 17 May 2019
Reinforcement Learning for Robotics and Control with Active Uncertainty Reduction Narendra Patwardhan Zequn Wang 14 1 0 15 May 2019
Toward Packet Routing with Fully-distributed Multi-agent Deep Reinforcement Learning Xinyu You Xuanjie Li Yuedong Xu Hui Feng Jin Zhao Huaicheng Yan 6 22 0 09 May 2019
Continual and Multi-task Reinforcement Learning With Shared Episodic Memory A. Sorokin Mikhail Burtsev KELM CLL 11 4 0 07 May 2019
Challenges of Real-World Reinforcement Learning Gabriel Dulac-Arnold D. Mankowitz Todd Hester OffRL 11 542 0 29 Apr 2019
A Short Survey On Memory Based Reinforcement Learning Dhruv Ramani OffRL 23 17 0 14 Apr 2019
Reinforcement Learning with Attention that Works: A Self-Supervised Approach Anthony Manchin Ehsan Abbasnejad Anton Van Den Hengel 16 60 0 06 Apr 2019
Reducing catastrophic forgetting when evolving neural networks Joseph Early 14 2 0 05 Apr 2019
Cooperative Multi-Agent Reinforcement Learning Framework for Scalping Trading Uk Jo Taehyun Jo W. KIm Iljoo Yoon Dongseo Lee Seungho Lee 11 2 0 31 Mar 2019
Towards Brain-inspired System: Deep Recurrent Reinforcement Learning for Simulated Self-driving Agent Jieneng Chen Jingye Chen Ruiming Zhang Xiaobin Hu 16 6 0 29 Mar 2019
Counterexample-Guided Strategy Improvement for POMDPs Using Recurrent Neural Networks Steven Carr N. Jansen Ralf Wimmer A. Serban Bernd Becker Ufuk Topcu 14 29 0 20 Mar 2019
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables Kate Rakelly Aurick Zhou Deirdre Quillen Chelsea Finn Sergey Levine OffRL 20 647 0 19 Mar 2019
Deep Recurrent Q-Learning vs Deep Q-Learning on a simple Partially Observable Markov Decision Process with Minecraft Clément Romac Vincent Béraud 13 5 0 11 Mar 2019
Viewpoint Optimization for Autonomous Strawberry Harvesting with Deep Reinforcement Learning Jonathon Sather Xiaozheng Jane Zhang OffRL 6 3 0 05 Mar 2019
Design of intentional backdoors in sequential models Zhaoyuan Yang N. Iyer Johan Reimann Nurali Virani SILM AAML 9 38 0 26 Feb 2019
Aggregating E-commerce Search Results from Heterogeneous Sources via Hierarchical Reinforcement Learning Ryuichi Takanobu Tao Zhuang Minlie Huang Jun Feng Haihong Tang Bo Zheng 17 17 0 24 Feb 2019
Autonomous Airline Revenue Management: A Deep Reinforcement Learning Approach to Seat Inventory Control and Overbooking S. Shihab Caleb Logemann Deep Thomas Peng Wei 6 4 0 18 Feb 2019
Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning Woojun Kim Myungsik Cho Y. Sung 17 55 0 18 Feb 2019
Robust Reinforcement Learning in POMDPs with Incomplete and Noisy Observations Yuhui Wang Hao He Xiaoyang Tan 28 9 0 15 Feb 2019
Active Perception in Adversarial Scenarios using Maximum Entropy Deep Reinforcement Learning Macheng Shen Jonathan P. How AAML 12 13 0 14 Feb 2019
The StarCraft Multi-Agent Challenge Mikayel Samvelyan Tabish Rashid Christian Schroeder de Witt Gregory Farquhar Nantas Nardelli Tim G. J. Rudner Chia-Man Hung Philip H. S. Torr Jakob N. Foerster Shimon Whiteson 38 930 0 11 Feb 2019
Rethinking the Discount Factor in Reinforcement Learning: A Decision Theoretic Approach Silviu Pitis OffRL 17 49 0 08 Feb 2019
Neural Fictitious Self-Play on ELF Mini-RTS Keigo Kawamura Yoshimasa Tsuruoka 11 7 0 06 Feb 2019
Learning to Learn in Simulation Ervin Teng Bob Iannucci 14 1 0 05 Feb 2019
Certified Reinforcement Learning with Logic Guidance Mohammadhosein Hasanbeig Daniel Kroening Alessandro Abate 16 52 0 02 Feb 2019
Visual Rationalizations in Deep Reinforcement Learning for Atari Games L. Weitkamp Elise van der Pol Zeynep Akata 14 27 0 01 Feb 2019
Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks Dongqi Han Kenji Doya Jun Tani AI4CE 17 20 0 29 Jan 2019
A Regulation Enforcement Solution for Multi-agent Reinforcement Learning Fan-Yun Sun Yen-Yu Chang Yueh-hua Wu Shou-De Lin 18 2 0 29 Jan 2019