Deep Recurrent Q-Learning for Partially Observable MDPs

23 July 2015

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

50 / 634 papers shown

Title
Deep Reinforcement Learning and Transportation Research: A Comprehensive Review Nahid Parvez Farazi T. Ahamed Limon Barua Bo Zou AI4TS 27 18 0 13 Oct 2020
Deep Echo State Q-Network (DEQN) and Its Application in Dynamic Spectrum Sharing for 5G and Beyond Hao-Hsuan Chang Lingjia Liu Yuhao Yi 8 46 0 12 Oct 2020
A novel control mode of bionic morphing tail based on deep reinforcement learning Liming Zheng Zhou Zhou Peng Sun Zhilin Zhang Rui Wang AI4CE 16 1 0 08 Oct 2020
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning Mohit Shridhar Xingdi Yuan Marc-Alexandre Côté Yonatan Bisk Adam Trischler Matthew J. Hausknecht LM&Ro LLMAG 27 397 0 08 Oct 2020
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning Tarun Gupta Anuj Mahajan Bei Peng Wendelin Bohmer Shimon Whiteson OffRL 14 49 0 06 Oct 2020
Latent World Models For Intrinsically Motivated Exploration Aleksandr Ermolov N. Sebe 25 25 0 05 Oct 2020
The act of remembering: a study in partially observable reinforcement learning Rodrigo Toro Icarte Richard Valenzano Toryn Q. Klassen Phillip J. K. Christoffersen Amir-massoud Farahmand Sheila A. McIlraith OffRL 6 10 0 05 Oct 2020
Correcting Experience Replay for Multi-Agent Communication S. Ahilan Peter Dayan 16 10 0 02 Oct 2020
Reinforcement Learning Approaches in Social Robotics Neziha Akalin Amy Loutfi OffRL 6 100 0 21 Sep 2020
QR-MIX: Distributional Value Function Factorisation for Cooperative Multi-Agent Reinforcement Learning Jian Hu Seth Austin Harding Haibin Wu Siyue Hu Shih-Wei Liao 29 9 0 09 Sep 2020
Deep Active Inference for Partially Observable MDPs Otto van der Himst Pablo Lanillos BDL OffRL AI4CE 12 26 0 08 Sep 2020
Deep Learning and Reinforcement Learning for Autonomous Unmanned Aerial Systems: Roadmap for Theory to Deployment Jithin Jagannath Anu Jagannath Sean Furman Tyler Gwin 14 25 0 07 Sep 2020
BGC: Multi-Agent Group Belief with Graph Clustering Tianze Zhou Fubiao Zhang Pan Tang Chenfei Wang 6 1 0 20 Aug 2020
A Survey of Knowledge-based Sequential Decision Making under Uncertainty Shiqi Zhang Mohan Sridharan 21 16 0 19 Aug 2020
Toward Smart Security Enhancement of Federated Learning Networks Junjie Tan Ying-Chang Liang Nguyen Cong Luong Dusit Niyato AAML 30 38 0 19 Aug 2020
Control for Multifunctionality: Bioinspired Control Based on Feeding in Aplysia californica Victoria A. Webster-Wood Jeffrey P. Gill P. Thomas H. Chiel 24 16 0 11 Aug 2020
Deep Q-Network Based Multi-agent Reinforcement Learning with Binary Action Agents A. M. Hafiz G. M. Bhat AI4CE 23 2 0 06 Aug 2020
EasyRL: A Simple and Extensible Reinforcement Learning Framework Neil Hulbert S. Spillers Brandon Francis James Haines-Temons Ken Gil Romero Benjamin De Jager Sam Wong Kevin Flora Bowei Huang Athirai Aravazhi Irissappane OffRL OnRL SyDa 11 1 0 04 Aug 2020
Modular Transfer Learning with Transition Mismatch Compensation for Excessive Disturbance Rejection Tianming Wang Wenjie Lu H. Yu Dikai Liu 41 1 0 29 Jul 2020
Value-Decomposition Multi-Agent Actor-Critics Jianyu Su Stephen C. Adams Peter A. Beling 68 101 0 24 Jul 2020
Attend and Segment: Attention Guided Active Semantic Segmentation Soroush Seifi Tinne Tuytelaars 31 13 0 22 Jul 2020
UAV Target Tracking in Urban Environments Using Deep Reinforcement Learning Sarthak Bhagat Sujit PB 34 47 0 21 Jul 2020
Heterogeneous Task Offloading and Resource Allocations via Deep Recurrent Reinforcement Learning in Partial Observable Multi-Fog Networks Jungyeon Baek Georges Kaddoum 8 83 0 21 Jul 2020
Revisiting Fundamentals of Experience Replay W. Fedus Prajit Ramachandran Rishabh Agarwal Yoshua Bengio Hugo Larochelle Mark Rowland Will Dabney KELM OffRL 30 232 0 13 Jul 2020
Pre-trained Word Embeddings for Goal-conditional Transfer Learning in Reinforcement Learning Matthias Hutsebaut-Buysse Kevin Mets Steven Latré LM&Ro OffRL OnRL 25 6 0 10 Jul 2020
Learning "What-if" Explanations for Sequential Decision-Making Ioana Bica Daniel Jarrett Alihan Huyuk M. Schaar OffRL 16 2 0 02 Jul 2020
Human-centered collaborative robots with deep reinforcement learning Ali Ghadirzadeh Xi Chen Wenjie Yin Zhengrong Yi Mårten Björkman Danica Kragic 15 66 0 02 Jul 2020
Enforcing Almost-Sure Reachability in POMDPs Sebastian Junges N. Jansen S. Seshia 22 26 0 30 Jun 2020
Deep Reinforcement Learning Control for Radar Detection and Tracking in Congested Spectral Environments C. Thornton Mark A. Kozy R. M. Buehrer A. Martone K. Sherbondy 11 82 0 23 Jun 2020
QTRAN++: Improved Value Transformation for Cooperative Multi-Agent Reinforcement Learning Kyunghwan Son Sungsoo Ahn Roben Delos Reyes Jinwoo Shin Yung Yi OffRL 28 2 0 22 Jun 2020
Hierarchical Reinforcement Learning for Deep Goal Reasoning: An Expressiveness Analysis Weihang Yuan Hector Muñoz-Avila 8 1 0 21 Jun 2020
WD3: Taming the Estimation Bias in Deep Reinforcement Learning Qiang He Xinwen Hou OffRL 8 28 0 18 Jun 2020
Multi-Agent Reinforcement Learning for Adaptive User Association in Dynamic mmWave Networks Mohamed Sana A. De Domenico Wei Yu Y. Lostanlen Emilio Calvanese Strinati 18 54 0 16 Jun 2020
When is Particle Filtering Efficient for Planning in Partially Observed Linear Dynamical Systems? S. Du Wei Hu Zhiyuan Li Ruoqi Shen Zhao-quan Song Jiajun Wu 36 1 0 10 Jun 2020
Fitted Q-Learning for Relational Domains Srijita Das S. Natarajan Kaushik Roy Ronald E. Parr Kristian Kersting 11 15 0 10 Jun 2020
Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning Shariq Iqbal Christian Schroeder de Witt Bei Peng Wendelin Bohmer Shimon Whiteson Fei Sha 29 64 0 07 Jun 2020
Re-understanding Finite-State Representations of Recurrent Policy Networks Mohamad H. Danesh Anurag Koul Alan Fern Saeed Khorram 31 21 0 06 Jun 2020
Logical Team Q-learning: An approach towards factored policies in cooperative MARL Lucas Cassano Ali H. Sayed OffRL 25 2 0 05 Jun 2020
Learning Memory-Based Control for Human-Scale Bipedal Locomotion J. Siekmann S. Valluri Jeremy Dao Lorenzo Bermillo Helei Duan Alan Fern J. Hurst AI4CE 7 67 0 03 Jun 2020
Privileged Information Dropout in Reinforcement Learning Pierre-Alexandre Kamienny Kai Arulkumaran Feryal M. P. Behbahani Wendelin Boehmer Shimon Whiteson 19 10 0 19 May 2020
A Deep Q-learning/genetic Algorithms Based Novel Methodology For Optimizing Covid-19 Pandemic Government Actions Luis Miralles-Pechuán Fernando Jiménez Hiram Ponce Lourdes Martínez-Villaseñor 8 13 0 15 May 2020
Maximizing Information Gain in Partially Observable Environments via Prediction Reward Yash Satsangi Sungsu Lim Shimon Whiteson F. Oliehoek Martha White 27 15 0 11 May 2020
Intelligent Querying for Target Tracking in Camera Networks using Deep Q-Learning with n-Step Bootstrapping Anil Sharma Saket Anand S. Kaul 9 6 0 20 Apr 2020
Modeling Survival in model-based Reinforcement Learning Saeed Moazami P. Doerschuk OffRL 17 1 0 18 Apr 2020
Macro-Action-Based Deep Multi-Agent Reinforcement Learning Yuchen Xiao Joshua Hoffman Chris Amato AI4CE 11 29 0 18 Apr 2020
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning Wenhao Li Bo Jin Xiangfeng Wang Junchi Yan H. Zha 25 21 0 17 Apr 2020
Reinforcement Learning in a Physics-Inspired Semi-Markov Environment C. Bellinger Rory Coles Mark Crowley Isaac Tamblyn OOD 9 2 0 15 Apr 2020
Learning from Learners: Adapting Reinforcement Learning Agents to be Competitive in a Card Game Pablo V. A. Barros Ana Tanevska A. Sciutti 17 21 0 08 Apr 2020
An Application of Deep Reinforcement Learning to Algorithmic Trading Thibaut Théate D. Ernst AIFin 19 162 0 07 Apr 2020
Information State Embedding in Partially Observable Cooperative Multi-Agent Reinforcement Learning Weichao Mao Kaipeng Zhang Erik Miehling Tamer Basar 6 23 0 02 Apr 2020