Memory-based control with recurrent neural networks

14 December 2015

David Silver

Papers citing "Memory-based control with recurrent neural networks"

50 / 125 papers shown

Title
LineFlow: A Framework to Learn Active Control of Production Lines Kai Müller Martin Wenzel Tobias Windisch AI4CE 26 0 0 10 May 2025
Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability Carlos E. Luis A. Bottero Julia Vinogradska Felix Berkenkamp Jan Peters 78 1 0 20 Feb 2025
Toward Task Generalization via Memory Augmentation in Meta-Reinforcement Learning Kaixi Bao Chenhao Li Yarden As Andreas Krause Marco Hutter OffRL CLL 119 1 0 03 Feb 2025
Equivariant Reinforcement Learning under Partial Observability Hai Nguyen Andrea Baisero David M. Klee Dian Wang Robert Platt Christopher Amato 42 14 0 26 Aug 2024
The Evolution of Reinforcement Learning in Quantitative Finance: A Survey Nikolaos Pippas Cagatay Turkay Elliot A. Ludvig AIFin 92 3 0 20 Aug 2024
Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy Cameron Allen Aaron Kirtland Ruo Yu Tao Sam Lobel Daniel Scott Nicholas Petrocelli Omer Gottesman Ronald E. Parr M. L. Littman George Konidaris 28 1 0 10 Jul 2024
Analysis of Off-Policy Multi-Step TD-Learning with Linear Function Approximation Donghwan Lee 45 0 0 24 Feb 2024
Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills Hongcai He Anjie Zhu Shuang Liang Feiyu Chen Jie Shao OffRL 51 4 0 11 Dec 2023
Two-step dynamic obstacle avoidance Fabian Hart Martin Waltz Ostap Okhrin 30 3 0 28 Nov 2023
Provable Representation with Efficient Planning for Partial Observable Reinforcement Learning Hongming Zhang Tongzheng Ren Chenjun Xiao Dale Schuurmans Bo Dai 45 3 0 20 Nov 2023
Offline RL with Observation Histories: Analyzing and Improving Sample Complexity Joey Hong Anca Dragan Sergey Levine OffRL 24 5 0 31 Oct 2023
Towards Open-World Co-Salient Object Detection with Generative Uncertainty-aware Group Selective Exchange-Masking Yang Wu Shenglong Hu Huihui Song Kaihua Zhang Bo Liu Dong Liu 28 0 0 16 Oct 2023
AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents Jake Grigsby Linxi Fan Yuke Zhu OffRL LM&Ro 38 10 0 15 Oct 2023
AdaptNet: Policy Adaptation for Physics-Based Character Control Pei Xu Kaixiang Xie Sheldon Andrews P. Kry Michael Neff Morgan McGuire Ioannis Karamouzas Victor Zordan TTA 37 17 0 30 Sep 2023
Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of Agents Marco Pleines Matthias Pallasch Frank Zimmer Mike Preuss OffRL 29 0 0 29 Sep 2023
ODE-based Recurrent Model-free Reinforcement Learning for POMDPs Xu Zhao Duzhen Zhang Liyuan Han Tielin Zhang Bo Xu 37 7 0 25 Sep 2023
Learning Computational Efficient Bots with Costly Features Anthony Kobanda Valliappan C. A. Joshua Romoff Ludovic Denoyer OffRL 27 1 0 18 Aug 2023
Dynamic deep-reinforcement-learning algorithm in Partially Observed Markov Decision Processes Saki Omi Hyo-Sang Shin Namhoon Cho Antonios Tsourdos 27 3 0 29 Jul 2023
PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control Tasks I. Char J. Schneider 26 4 0 12 Jul 2023
RL $^3$ : Boosting Meta Reinforcement Learning via RL inside RL $^2$ Abhinav Bhatia Samer B. Nashed S. Zilberstein OffRL 25 0 0 28 Jun 2023
Informed POMDP: Leveraging Additional Information in Model-Based RL Gaspard Lambrechts Adrien Bolland D. Ernst 25 7 0 20 Jun 2023
Deep Generative Models for Decision-Making and Control Michael Janner 34 1 0 15 Jun 2023
Finite-Time Analysis of Minimax Q-Learning for Two-Player Zero-Sum Markov Games: Switching System Approach Dong-hwan Lee 21 2 0 09 Jun 2023
Model-free Motion Planning of Autonomous Agents for Complex Tasks in Partially Observable Environments Junchao Li Mingyu Cai Z. Kan Shaoping Xiao 23 1 0 30 Apr 2023
Optimal Scheduling in IoT-Driven Smart Isolated Microgrids Based on Deep Reinforcement Learning Jiaju Qi Lei Lei Kan Zheng Simon X. Yang Xuemin X. Shen 16 11 0 28 Apr 2023
Observer-Feedback-Feedforward Controller Structures in Reinforcement Learning Ruoqing Zhang Per Mattsson T. Wigren 27 0 0 20 Apr 2023
The configurable tree graph (CT-graph): measurable problems in partially observable and distal reward environments for lifelong reinforcement learning Andrea Soltoggio Eseoghene Ben-Iwhiwhu Christos Peridis Pawel Ladosz Jeffery Dick Praveen K. Pilly Soheil Kolouri OffRL 32 3 0 21 Jan 2023
A Survey of Meta-Reinforcement Learning Jacob Beck Risto Vuorio E. Liu Zheng Xiong L. Zintgraf Chelsea Finn Shimon Whiteson OOD OffRL 37 122 0 19 Jan 2023
Spatial-temporal recurrent reinforcement learning for autonomous ships Martin Waltz Ostap Okhrin 24 9 0 02 Nov 2022
Effective Multi-User Delay-Constrained Scheduling with Deep Recurrent Reinforcement Learning Pihe Hu L. Pan Yu Chen Zhixuan Fang Longbo Huang 8 4 0 30 Aug 2022
Autonomous Unmanned Aerial Vehicle Navigation using Reinforcement Learning: A Systematic Review Fadi AlMahamid Katarina Grolinger 21 73 0 25 Aug 2022
Recurrent networks, hidden states and beliefs in partially observable environments Gaspard Lambrechts Adrien Bolland D. Ernst 19 12 0 06 Aug 2022
The Free Energy Principle for Perception and Action: A Deep Learning Perspective Pietro Mazzaglia Tim Verbelen Ozan Çatal Bart Dhoedt DRL AI4CE 30 31 0 13 Jul 2022
Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges Massimo Caccia Jonas W. Mueller Taesup Kim Laurent Charlin Rasool Fakoor CLL 32 8 0 28 May 2022
Generalization, Mayhems and Limits in Recurrent Proximal Policy Optimization Marco Pleines Matthias Pallasch F. Zimmer Mike Preuss 26 13 0 23 May 2022
Hierarchical Reinforcement Learning under Mixed Observability Hai V. Nguyen Zhihan Yang Andrea Baisero Xiao Ma Robert W. Platt Chris Amato 25 4 0 02 Apr 2022
Platform Behavior under Market Shocks: A Simulation Framework and Reinforcement-Learning Based Study Xintong Wang Gary Qiurui Ma Alon Eden Clara Li Alexander R. Trott Stephan Zheng David C. Parkes 40 8 0 25 Mar 2022
Distributional Reinforcement Learning for Scheduling of Chemical Production Processes M. Mowbray Dongda Zhang Ehecatl Antonio del Rio Chanona OffRL 25 6 0 01 Mar 2022
RL-PGO: Reinforcement Learning-based Planar Pose-Graph Optimization Nikolaos Kourtzanidis Sajad Saeedi 34 2 0 26 Feb 2022
Recursive Least Squares Advantage Actor-Critic Algorithms Yuan Wang Chunyuan Zhang Tianzong Yu Meng-tao Ma 14 0 0 15 Jan 2022
Missing Velocity in Dynamic Obstacle Avoidance based on Deep Reinforcement Learning Fabian Hart Martin Waltz Ostap Okhrin 13 0 0 23 Dec 2021
Inducing Functions through Reinforcement Learning without Task Specification Junmo Cho Dong-hwan Lee Young-Gyu Yoon 20 2 0 23 Nov 2021
Recurrent Off-policy Baselines for Memory-based Continuous Control Zhihan Yang Hai V. Nguyen CLL OffRL 18 23 0 25 Oct 2021
Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs Tianwei Ni Benjamin Eysenbach Ruslan Salakhutdinov 20 103 0 11 Oct 2021
Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed Systems Fangda Gu He Yin L. Ghaoui Murat Arcak Peter M. Seiler Ming Jin 9 25 0 08 Sep 2021
Federated Reinforcement Learning: Techniques, Applications, and Open Challenges Jiaju Qi Qihao Zhou Lei Lei Kan Zheng FedML 31 145 0 26 Aug 2021
Self-optimizing adaptive optics control with Reinforcement Learning for high-contrast imaging Rico Landman S. Haffert V. M. Radhakrishnan C. Keller 12 28 0 24 Aug 2021
Graph Convolutional Memory using Topological Priors Steven D. Morad Stephan Liwicki Ryan Kortvelesy R. Mecca Amanda Prorok 20 0 0 27 Jun 2021
Analysis of a Target-Based Actor-Critic Algorithm with Linear Function Approximation Anas Barakat Pascal Bianchi Julien Lehmann 21 9 0 14 Jun 2021
Offline Reinforcement Learning as One Big Sequence Modeling Problem Michael Janner Qiyang Li Sergey Levine OffRL 66 645 0 03 Jun 2021