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
Learn to Schedule (LEASCH): A Deep reinforcement learning approach for radio resource scheduling in the 5G MAC layer F. Al-Tam N. Correia Jonathan Rodriguez 14 58 0 24 Mar 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 28 120 0 24 Mar 2020
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Mikayel Samvelyan Christian Schroeder de Witt Gregory Farquhar Jakob N. Foerster Shimon Whiteson 52 771 0 19 Mar 2020
The Chef's Hat Simulation Environment for Reinforcement-Learning-Based Agents Pablo V. A. Barros Anne C. Bloem Inge M. Hootsmans Lena M. Opheij Romain H. A. Toebosch E. Barakova A. Sciutti 12 9 0 12 Mar 2020
Transfer Reinforcement Learning under Unobserved Contextual Information Yan Zhang Michael M. Zavlanos OffRL 6 6 0 09 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 27 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 22 5 0 27 Feb 2020
Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations Xiao Ma Peter Karkus David Hsu W. Lee N. Ye OffRL 17 42 0 23 Feb 2020
Learning Dynamic Belief Graphs to Generalize on Text-Based Games Ashutosh Adhikari Xingdi Yuan Marc-Alexandre Côté M. Zelinka Marc-Antoine Rondeau Romain Laroche Pascal Poupart Jian Tang Adam Trischler William L. Hamilton AI4CE 28 81 0 21 Feb 2020
Autonomous quadrotor obstacle avoidance based on dueling double deep recurrent Q-learning with monocular vision Jiajun Ou Xiao Guo Ming Zhu Wenjie Lou 19 30 0 10 Feb 2020
Evolution of a Complex Predator-Prey Ecosystem on Large-scale Multi-Agent Deep Reinforcement Learning Jun Yamada John Shawe-Taylor Z. Fountas 10 8 0 09 Feb 2020
Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making C. Shi Runzhe Wan R. Song Wenbin Lu Ling Leng 20 37 0 05 Feb 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 165 1,632 0 02 Feb 2020
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning Inaam Ilahi Muhammad Usama Junaid Qadir M. Janjua Ala I. Al-Fuqaha D. Hoang Dusit Niyato AAML 59 132 0 27 Jan 2020
Experimental Analysis of Reinforcement Learning Techniques for Spectrum Sharing Radar C. Thornton R. M. Buehrer A. Martone K. Sherbondy 14 12 0 06 Jan 2020
A Survey of Deep Reinforcement Learning in Video Games Kun Shao Zhentao Tang Yuanheng Zhu Nannan Li Dongbin Zhao OffRL AI4TS 37 188 0 23 Dec 2019
TOCO: A Framework for Compressing Neural Network Models Based on Tolerance Analysis Soroosh Khoram J. Li 8 1 0 18 Dec 2019
Online Deep Reinforcement Learning for Autonomous UAV Navigation and Exploration of Outdoor Environments Bruna G. Maciel-Pearson Letizia Marchegiani S. Akçay Amir Atapour-Abarghouei James Garforth T. Breckon 13 30 0 11 Dec 2019
Transformer Based Reinforcement Learning For Games Uddeshya Upadhyay Nikunj Shah Sucheta Ravikanti Mayanka Medhe OffRL 11 10 0 09 Dec 2019
Reinforcement Learning with Convolutional Reservoir Computing Hanten Chang K. Futagami 18 22 0 05 Dec 2019
Improving Policies via Search in Cooperative Partially Observable Games Adam Lerer Hengyuan Hu Jakob N. Foerster Noam Brown 13 78 0 05 Dec 2019
Learning and Planning for Time-Varying MDPs Using Maximum Likelihood Estimation Melkior Ornik Ufuk Topcu OOD 6 15 0 29 Nov 2019
Algorithmic Improvements for Deep Reinforcement Learning applied to Interactive Fiction Vishal Jain W. Fedus Hugo Larochelle Doina Precup Marc G. Bellemare AI4CE 11 30 0 28 Nov 2019
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms Kaipeng Zhang Zhuoran Yang Tamer Basar 55 1,180 0 24 Nov 2019
Influence-aware Memory Architectures for Deep Reinforcement Learning Miguel Suau Jinke He E. Congeduti Rolf A. N. Starre A. Czechowski F. Oliehoek 6 5 0 18 Nov 2019
Working Memory Graphs Ricky Loynd Roland Fernandez Asli Celikyilmaz Adith Swaminathan Matthew J. Hausknecht 17 40 0 17 Nov 2019
Asymptotics of Reinforcement Learning with Neural Networks Justin A. Sirignano K. Spiliopoulos MLT 8 14 0 13 Nov 2019
Learning to Communicate in Multi-Agent Reinforcement Learning : A Review Mohamed Salah Zaïem Etienne Bennequin 19 13 0 13 Nov 2019
Multi-Agent Connected Autonomous Driving using Deep Reinforcement Learning Praveen Palanisamy 37 142 0 11 Nov 2019
Deep Reinforcement Learning with Enhanced Safety for Autonomous Highway Driving Ali Baheri S. Nageshrao H. E. Tseng I. Kolmanovsky Anouck Girard Dimitar Filev 14 56 0 28 Oct 2019
Faster and Safer Training by Embedding High-Level Knowledge into Deep Reinforcement Learning Haodi Zhang Zihang Gao Yi Zhou Haotong Zhang Kaishun Wu Fangzhen Lin AI4CE 19 17 0 22 Oct 2019
MAVEN: Multi-Agent Variational Exploration Anuj Mahajan Tabish Rashid Mikayel Samvelyan Shimon Whiteson DRL 140 355 0 16 Oct 2019
Decentralized Multi-Agent Actor-Critic with Generative Inference Kevin Corder Manuel M. Vindiola Keith S. Decker OffRL 17 5 0 07 Oct 2019
Meta-Q-Learning Rasool Fakoor Pratik Chaudhari Stefano Soatto Alex Smola OffRL 17 145 0 30 Sep 2019
DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs Yunbo Wang Bo Liu Jiajun Wu Yuke Zhu Simon S. Du Fei-Fei Li Joshua B. Tenenbaum 9 6 0 28 Sep 2019
Deep Coordination Graphs Wendelin Bohmer Vitaly Kurin Shimon Whiteson GNN 21 174 0 27 Sep 2019
Explaining and Interpreting LSTMs L. Arras Jose A. Arjona-Medina Michael Widrich G. Montavon Michael Gillhofer K. Müller Sepp Hochreiter Wojciech Samek FAtt AI4TS 18 79 0 25 Sep 2019
Deep Reinforcement Learning with Modulated Hebbian plus Q Network Architecture Pawel Ladosz Eseoghene Ben-Iwhiwhu Jeffery Dick Yang Hu Nicholas A. Ketz Soheil Kolouri J. Krichmar Praveen K. Pilly Andrea Soltoggio 13 19 0 21 Sep 2019
Learning Multi-Robot Decentralized Macro-Action-Based Policies via a Centralized Q-Net Yuchen Xiao Joshua Hoffman Tian Xia Chris Amato 19 27 0 19 Sep 2019
Robust Opponent Modeling via Adversarial Ensemble Reinforcement Learning in Asymmetric Imperfect-Information Games Macheng Shen Jonathan P. How AAML 21 19 0 18 Sep 2019
Reinforcement Learning for Portfolio Management Angelos Filos 14 35 0 12 Sep 2019
On Memory Mechanism in Multi-Agent Reinforcement Learning Yilun Zhou Derrik E. Asher Nicholas R. Waytowich J. Shah 17 2 0 11 Sep 2019
Off-Policy Evaluation in Partially Observable Environments Guy Tennenholtz Shie Mannor Uri Shalit OffRL 12 85 0 09 Sep 2019
DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning Theo Jaunet Romain Vuillemot Christian Wolf HAI 18 36 0 06 Sep 2019
Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control S. Zhang Qi Zhang Jieyu Lin 6 99 0 06 Sep 2019
Inductive-bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters Subho Sankar Banerjee Saurabh Jha Zbigniew T. Kalbarczyk R. Iyer 19 11 0 04 Sep 2019
Reinforcement learning with world model Jingbin Liu Xinyang Gu Shuai Liu 19 0 0 30 Aug 2019
Deep Reinforcement Learning for Foreign Exchange Trading Chun-Chieh Wang Yun-Cheng Tsai 6 6 0 21 Aug 2019
Performing Deep Recurrent Double Q-Learning for Atari Games Felipe Moreno-Vera 11 22 0 16 Aug 2019
Competitive Multi-Agent Deep Reinforcement Learning with Counterfactual Thinking Yue Wang Yao Wan Chenwei Zhang Lixin Cui Lu Bai Philip S. Yu LRM 4 12 0 13 Aug 2019