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
Distributed Learning of Decentralized Control Policies for Articulated Mobile Robots Guillaume Sartoretti William Paivine Yunfei Shi Yue Wu Howie Choset 17 55 0 24 Jan 2019
A Deep Recurrent Q Network towards Self-adapting Distributed Microservices architecture Basel Magableh 24 15 0 13 Jan 2019
A Theoretical Analysis of Deep Q-Learning Jianqing Fan Zhuoran Yang Yuchen Xie Zhaoran Wang 12 594 0 01 Jan 2019
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications Thanh Thi Nguyen Ngoc Duy Nguyen S. Nahavandi 19 773 0 31 Dec 2018
Learn to Interpret Atari Agents Zhao Yang S. Bai Li Zhang Philip H. S. Torr 14 28 0 29 Dec 2018
Parallelized Interactive Machine Learning on Autonomous Vehicles Xi Chen Caylin D. Hickey OffRL 15 1 0 23 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 14 54 0 17 Dec 2018
Likelihood Quantile Networks for Coordinating Multi-Agent Reinforcement Learning Xueguang Lu Chris Amato 18 1 0 15 Dec 2018
Learning to Communicate: A Machine Learning Framework for Heterogeneous Multi-Agent Robotic Systems Hyung-Jin Yoon Huaiyu Chen Kehan Long Heling Zhang Aditya Gahlawat Donghwan Lee N. Hovakimyan 21 6 0 13 Dec 2018
Counterfactual Critic Multi-Agent Training for Scene Graph Generation Long Chen Hanwang Zhang Jun Xiao Xiangnan He Shiliang Pu Shih-Fu Chang 14 159 0 06 Dec 2018
Multi-agent Deep Reinforcement Learning with Extremely Noisy Observations Ozsel Kilinc Giovanni Montana 15 26 0 03 Dec 2018
Macro action selection with deep reinforcement learning in StarCraft Sijia Xu Hongyu Kuang Zhi Zhuang Renjie Hu Yang Liu Huyang Sun 22 27 0 02 Dec 2018
Using Monte Carlo Tree Search as a Demonstrator within Asynchronous Deep RL Bilal Kartal Pablo Hernandez-Leal Matthew E. Taylor OffRL 25 9 0 30 Nov 2018
An Introduction to Deep Reinforcement Learning Vincent François-Lavet Peter Henderson Riashat Islam Marc G. Bellemare Joelle Pineau OffRL AI4CE 80 1,233 0 30 Nov 2018
Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation Fan Wang Bo Zhou Ke Chen Tingxiang Fan Xi Zhang Jiangyong Li Hao Tian Jia Pan 8 26 0 15 Nov 2018
Bayesian Reinforcement Learning in Factored POMDPs Sammie Katt F. Oliehoek Chris Amato 12 39 0 14 Nov 2018
Memory-based Deep Reinforcement Learning for Obstacle Avoidance in UAV with Limited Environment Knowledge Hassan Dashtian Sindhu Padakandla M. Sahimi 17 201 0 08 Nov 2018
Deep Reinforcement Learning for Green Security Games with Real-Time Information Yufei Wang Zheyuan Ryan Shi Lantao Yu Yi Wu Rohit Singh Lucas Joppa Fei Fang 13 74 0 06 Nov 2018
TarMAC: Targeted Multi-Agent Communication Abhishek Das Théophile Gervet Joshua Romoff Dhruv Batra Devi Parikh Michael G. Rabbat Joelle Pineau 22 378 0 26 Oct 2018
Reconciling $λ$ -Returns with Experience Replay Brett Daley Chris Amato 11 4 0 23 Oct 2018
Fast deep reinforcement learning using online adjustments from the past S. Hansen Pablo Sprechmann Alexander Pritzel André Barreto Charles Blundell TTA OffRL OnRL 16 42 0 18 Oct 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 48 1,422 0 18 Oct 2018
Using Deep Reinforcement Learning for the Continuous Control of Robotic Arms Winfried Lötzsch 10 3 0 15 Oct 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 28 144 0 15 Oct 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 32 550 0 12 Oct 2018
Policy Design for Active Sequential Hypothesis Testing using Deep Learning D. Kartik Ekraam Sabir U. Mitra Premkumar Natarajan 24 18 0 11 Oct 2018
Better Safe than Sorry: Evidence Accumulation Allows for Safe Reinforcement Learning Akshat Agarwal Abhinau K. Venkataramanan Kyle Dunovan Erik J Peterson Timothy D. Verstynen Katia P. Sycara OffRL 14 3 0 24 Sep 2018
Neural Approaches to Conversational AI Jianfeng Gao Michel Galley Lihong Li 37 668 0 21 Sep 2018
Hidden Markov Model Estimation-Based Q-learning for Partially Observable Markov Decision Process Hyung-Jin Yoon Donghwan Lee N. Hovakimyan 18 10 0 17 Sep 2018
Learning to Collaborate: Multi-Scenario Ranking via Multi-Agent Reinforcement Learning Jun Feng Heng Li Minlie Huang Shichen Liu Wenwu Ou Zhirong Wang Xiaoyan Zhu 9 70 0 17 Sep 2018
Higher-order Graph Convolutional Networks J. B. Lee Ryan A. Rossi Xiangnan Kong Sungchul Kim Eunyee Koh Anup B. Rao GNN 14 35 0 12 Sep 2018
ViZDoom Competitions: Playing Doom from Pixels Marek Wydmuch Michal Kempka Wojciech Ja'skowski 24 119 0 10 Sep 2018
Improving Conditional Sequence Generative Adversarial Networks by Stepwise Evaluation Yi-Lin Tuan Hung-yi Lee GAN 14 55 0 16 Aug 2018
FuzzerGym: A Competitive Framework for Fuzzing and Learning W. Drozd Michael D. Wagner 17 32 0 19 Jul 2018
General Value Function Networks M. Schlegel Andrew Jacobsen Zaheer Abbas Andrew Patterson Adam White Martha White 26 30 0 18 Jul 2018
Integrating Algorithmic Planning and Deep Learning for Partially Observable Navigation Peter Karkus David Hsu Wee Sun Lee 16 10 0 17 Jul 2018
Deep Reinforcement Learning for Swarm Systems Maximilian Hüttenrauch Adrian Šošić Gerhard Neumann 14 195 0 17 Jul 2018
Safe Reinforcement Learning via Probabilistic Shields N. Jansen Bettina Könighofer Sebastian Junges A. Serban Roderick Bloem 12 9 0 16 Jul 2018
Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation Lu Wang Wei Zhang Xiaofeng He H. Zha 11 259 0 04 Jul 2018
Learning to Drive in a Day Alex Kendall Jeffrey Hawke David Janz Przemyslaw Mazur Daniele Reda John M. Allen Vinh-Dieu Lam Alex Bewley Amar Shah 42 641 0 01 Jul 2018
Counting to Explore and Generalize in Text-based Games Xingdi Yuan Marc-Alexandre Côté Alessandro Sordoni Romain Laroche Rémi Tachet des Combes Matthew J. Hausknecht Adam Trischler LLMAG 8 68 0 29 Jun 2018
Deep Reinforcement Learning: An Overview Seyed Sajad Mousavi Michael Schukat Enda Howley 11 45 0 23 Jun 2018
Learning-to-Ask: Knowledge Acquisition via 20 Questions Yihong Chen B. Chen Xuguang Duan Jian-Guang Lou Yue Wang Wenwu Zhu Yong Cao 13 15 0 22 Jun 2018
RUDDER: Return Decomposition for Delayed Rewards Jose A. Arjona-Medina Michael Gillhofer Michael Widrich Thomas Unterthiner Johannes Brandstetter Sepp Hochreiter 22 212 0 20 Jun 2018
Task-Relevant Object Discovery and Categorization for Playing First-person Shooter Games Junchi Liang Abdeslam Boularias 11 2 0 17 Jun 2018
Deep Variational Reinforcement Learning for POMDPs Maximilian Igl L. Zintgraf T. Le Frank D. Wood Shimon Whiteson BDL OffRL 21 258 0 06 Jun 2018
Integrating Episodic Memory into a Reinforcement Learning Agent using Reservoir Sampling Kenny Young R. Sutton Shuo Yang 17 10 0 01 Jun 2018
Deep Reinforcement Learning in Ice Hockey for Context-Aware Player Evaluation Guiliang Liu Oliver Schulte 12 79 0 26 May 2018
Variational Inference for Data-Efficient Model Learning in POMDPs Sebastian Tschiatschek Kai Arulkumaran Jan Stühmer Katja Hofmann 17 15 0 23 May 2018
Reinforcement Learning for Heterogeneous Teams with PALO Bounds Roi Ceren Prashant Doshi Keyang He 17 0 0 23 May 2018