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
Blind Bipedal Stair Traversal via Sim-to-Real Reinforcement Learning J. Siekmann Kevin R. Green John Warila Alan Fern J. Hurst 13 186 0 18 May 2021
Hierarchical RNNs-Based Transformers MADDPG for Mixed Cooperative-Competitive Environments Xiaolong Wei Lifang Yang Xianglin Huang Gang Cao Zhulin Tao Zhengyang Du Jing An 29 6 0 11 May 2021
Context-Based Soft Actor Critic for Environments with Non-stationary Dynamics Yuan Pu Shaochen Wang Xin Yao Bin Li 19 1 0 07 May 2021
Reinforcement Learning using Guided Observability Stephan Weigand Pascal Klink Jan Peters Joni Pajarinen OffRL 21 4 0 22 Apr 2021
Quick Learner Automated Vehicle Adapting its Roadmanship to Varying Traffic Cultures with Meta Reinforcement Learning Songan Zhang Lu Wen H. Peng H. E. Tseng 27 10 0 18 Apr 2021
Unsupervised Visual Attention and Invariance for Reinforcement Learning Xudong Wang Long Lian Stella X. Yu OOD 34 37 0 07 Apr 2021
Robust Reinforcement Learning under model misspecification Lebin Yu Jian Wang Xudong Zhang OOD 26 2 0 29 Mar 2021
Simulation Studies on Deep Reinforcement Learning for Building Control with Human Interaction Dong-hwan Lee Niao He Seungjae Lee P. Karava Jianghai Hu AI4CE 13 0 0 14 Mar 2021
Deep Reinforcement Learning for Safe Landing Site Selection with Concurrent Consideration of Divert Maneuvers K. Iiyama Kento Tomita Bhavi Jagatia Tatsuwaki Nakagawa K. Ho 13 14 0 24 Feb 2021
Memory-based Deep Reinforcement Learning for POMDPs Lingheng Meng R. Gorbet Dana Kulić 26 90 0 24 Feb 2021
Learning Memory-Dependent Continuous Control from Demonstrations Siqing Hou Dongqi Han Jun Tani 18 0 0 18 Feb 2021
Cross-Modal Contrastive Learning of Representations for Navigation using Lightweight, Low-Cost Millimeter Wave Radar for Adverse Environmental Conditions Jui-Te Huang Chen-Lung Lu Po-Kai Chang Ching-I Huang Chao-Chun Hsu Zu Lin Ewe Po-Jui Huang Hsueh-Cheng Wang 49 19 0 10 Jan 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 40 2 0 04 Jan 2021
Occlusion-Aware Search for Object Retrieval in Clutter Wissam Bejjani Wisdom C. Agboh M. Dogar Matteo Leonetti 24 34 0 06 Nov 2020
MELD: Meta-Reinforcement Learning from Images via Latent State Models Tony Zhao Anusha Nagabandi Kate Rakelly Chelsea Finn Sergey Levine OffRL 32 36 0 26 Oct 2020
Approximate information state for approximate planning and reinforcement learning in partially observed systems Jayakumar Subramanian Amit Sinha Raihan Seraj Aditya Mahajan 16 78 0 17 Oct 2020
A Learning Approach to Robot-Agnostic Force-Guided High Precision Assembly Jieliang Luo Hui Li 17 18 0 15 Oct 2020
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
Model-Free Control of Dynamical Systems with Deep Reservoir Computing D. Canaday Andrew Pomerance D. Gauthier 8 33 0 05 Oct 2020
Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban Peter Karkus M. Berk Mirza A. Guez Andrew Jaegle Timothy Lillicrap Lars Buesing N. Heess T. Weber OffRL 22 8 0 03 Oct 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 38 79 0 17 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 24 25 0 07 Sep 2020
Learning to Actively Reduce Memory Requirements for Robot Control Tasks Meghan Booker Anirudha Majumdar 13 4 0 17 Aug 2020
Multi-Agent Deep Reinforcement Learning enabled Computation Resource Allocation in a Vehicular Cloud Network Shilin Xu Caili Guo R. Hu Y. Qian 15 6 0 14 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
A Survey on Autonomous Vehicle Control in the Era of Mixed-Autonomy: From Physics-Based to AI-Guided Driving Policy Learning Xuan Di Rongye Shi 29 174 0 10 Jul 2020
Hybrid Tensor Decomposition in Neural Network Compression Bijiao Wu Dingheng Wang Guangshe Zhao Lei Deng Guoqi Li 35 46 0 29 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 17 68 0 03 Jun 2020
Learning Adaptive Exploration Strategies in Dynamic Environments Through Informed Policy Regularization Pierre-Alexandre Kamienny Matteo Pirotta A. Lazaric Thibault Lavril Nicolas Usunier Ludovic Denoyer 8 19 0 06 May 2020
Adaptive Partial Scanning Transmission Electron Microscopy with Reinforcement Learning Jeffrey M. Ede 26 12 0 06 Apr 2020
Dynamic Energy Dispatch Based on Deep Reinforcement Learning in IoT-Driven Smart Isolated Microgrids Lei Lei Yue Tan Glenn Dahlenburg W. Xiang K. Zheng 16 68 0 07 Feb 2020
Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach Jun Wang Haifeng Zhang Qi Liu Zhen Pan Hanqing Tao 21 6 0 27 Dec 2019
Variational Recurrent Models for Solving Partially Observable Control Tasks Dongqi Han Kenji Doya Jun Tani DRL OffRL 21 59 0 23 Dec 2019
Deep Reinforcement Learning for Motion Planning of Mobile Robots Leonid Butyrev Thorsten Edelhäußer Christopher Mutschler 22 15 0 19 Dec 2019
OffWorld Gym: open-access physical robotics environment for real-world reinforcement learning benchmark and research Ashish Kumar Toby Buckley John B. Lanier Qiaozhi Wang A. Kavelaars Ilya Kuzovkin OffRL 19 14 0 18 Oct 2019
SafeCritic: Collision-Aware Trajectory Prediction T. V. D. Heiden N. S. Nagaraja Christian Weiss E. Gavves AAML 30 20 0 15 Oct 2019
Meta-Q-Learning Rasool Fakoor Pratik Chaudhari Stefano Soatto Alex Smola OffRL 25 145 0 30 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 24 19 0 21 Sep 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
An Introduction to Variational Autoencoders Diederik P. Kingma Max Welling BDL SSL DRL 33 2,295 0 06 Jun 2019
Target-Based Temporal Difference Learning Donghwan Lee Niao He OOD 24 31 0 24 Apr 2019
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables Kate Rakelly Aurick Zhou Deirdre Quillen Chelsea Finn Sergey Levine OffRL 48 649 0 19 Mar 2019
Viewpoint Optimization for Autonomous Strawberry Harvesting with Deep Reinforcement Learning Jonathon Sather Xiaozheng Jane Zhang OffRL 11 3 0 05 Mar 2019
Emergent Coordination Through Competition Siqi Liu Guy Lever J. Merel S. Tunyasuvunakool N. Heess T. Graepel 47 148 0 19 Feb 2019
Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks Dongqi Han Kenji Doya Jun Tani AI4CE 27 20 0 29 Jan 2019
Model-based Deep Reinforcement Learning for Dynamic Portfolio Optimization Pengqian Yu J. Lee Ilya Kulyatin Zekun Shi Sakyasingha Dasgupta 11 64 0 25 Jan 2019
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications Thanh Thi Nguyen Ngoc Duy Nguyen S. Nahavandi 27 774 0 31 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 29 6 0 13 Dec 2018
Hidden Markov Model Estimation-Based Q-learning for Partially Observable Markov Decision Process Hyung-Jin Yoon Donghwan Lee N. Hovakimyan 26 10 0 17 Sep 2018
Deep Variational Reinforcement Learning for POMDPs Maximilian Igl L. Zintgraf T. Le Frank Wood Shimon Whiteson BDL OffRL 21 258 0 06 Jun 2018