A Brief Survey of Deep Reinforcement Learning

19 August 2017

Anil Anthony Bharath

Papers citing "A Brief Survey of Deep Reinforcement Learning"

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Title
Multi-market Energy Optimization with Renewables via Reinforcement Learning Lucien Werner Peeyush Kumar 16 5 0 13 Jun 2023
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A Single-Loop Deep Actor-Critic Algorithm for Constrained Reinforcement Learning with Provable Convergence Kexuan Wang An Liu Baishuo Liu 18 1 0 10 Jun 2023
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Voyager: An Open-Ended Embodied Agent with Large Language Models Guanzhi Wang Yuqi Xie Yunfan Jiang Ajay Mandlekar Chaowei Xiao Yuke Zhu Linxi Fan Anima Anandkumar LM&Ro SyDa 63 757 0 25 May 2023
Automatic Design Method of Building Pipeline Layout Based on Deep Reinforcement Learning Chen Yang Zhe Zheng Jiali Lin AI4CE 13 1 0 18 May 2023
S-REINFORCE: A Neuro-Symbolic Policy Gradient Approach for Interpretable Reinforcement Learning R. Dutta Qinchen Wang Ankur Singh Dhruv Kumarjiguda Xiaoli Li Senthilnath Jayavelu 22 2 0 12 May 2023
Policy Gradient Methods in the Presence of Symmetries and State Abstractions Prakash Panangaden S. Rezaei-Shoshtari Rosie Zhao D. Meger Doina Precup 30 2 0 09 May 2023
Adaptive Learning Path Navigation Based on Knowledge Tracing and Reinforcement Learning Jyun-Yi Chen Saeed Saeedvand I-Wei Lai 21 2 0 08 May 2023
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators Alexander Herzog Kanishka Rao Karol Hausman Yao Lu Paul Wohlhart ... Noah Brown Mrinal Kalakrishnan Julian Ibarz P. Pastor Sergey Levine OffRL 41 23 0 05 May 2023
Data-driven Knowledge Fusion for Deep Multi-instance Learning Yu-Xuan Zhang Zhengchun Zhou Xingxing He A. R. Adhikary Bapi Dutta 33 1 0 24 Apr 2023
Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey Chao Yu Xuejing Zheng H. Zhuo OffRL LRM 55 7 0 24 Apr 2023
Learning Representative Trajectories of Dynamical Systems via Domain-Adaptive Imitation Edgardo Solano-Carrillo Jannis Stoppe 18 0 0 19 Apr 2023
Deep Explainable Relational Reinforcement Learning: A Neuro-Symbolic Approach Rishi Hazra Luc de Raedt NAI 29 9 0 17 Apr 2023
Integration of Reinforcement Learning Based Behavior Planning With Sampling Based Motion Planning for Automated Driving Marvin Klimke Benjamin Völz M. Buchholz 26 5 0 17 Apr 2023
MLOps Spanning Whole Machine Learning Life Cycle: A Survey Fang Zhengxin Yuan Yi Zhang Jingyu Liu Yue Mu Yuechen ... Xu Xiwei Wang Jeff Wang Chen Zhang Shuai Chen Shiping 24 4 0 13 Apr 2023
Neural Network Algorithm for Intercepting Targets Moving Along Known Trajectories by a Dubins' Car Ivan Nasonov A. Galyaev Andrey V. Medvedev 28 0 0 12 Apr 2023
Tracker: Model-based Reinforcement Learning for Tracking Control of Human Finger Attached with Thin McKibben Muscles Daichi Saito Eri Nagatomo Jefferson Pardomuan Hideki Koike 19 0 0 01 Apr 2023
Understanding Reinforcement Learning Algorithms: The Progress from Basic Q-learning to Proximal Policy Optimization M. Chadi H. Mousannif OffRL 21 4 0 31 Mar 2023
Quantum Deep Hedging El Amine Cherrat S. Raj Iordanis Kerenidis Abhishek Shekhar Ben Wood ... Pierre Minssen Ruslan Shaydulin Yue Sun Romina Yalovetzky Marco Pistoia 26 25 0 29 Mar 2023
Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems Sihan Zeng Thinh T. Doan Justin Romberg OffRL 27 3 0 23 Mar 2023
Adaptive Road Configurations for Improved Autonomous Vehicle-Pedestrian Interactions using Reinforcement Learning Qiming Ye Yuxiang Feng Jose Javier Escribano Macias M. Stettler Panagiotis Angeloudis 16 4 0 22 Mar 2023
Multi-modal reward for visual relationships-based image captioning Ali Abedi Hossein Karshenas Peyman Adibi 44 2 0 19 Mar 2023
Energy-Efficient Cellular-Connected UAV Swarm Control Optimization Yang Su Hui Zhou Yansha Deng Mischa Dohler 6 5 0 18 Mar 2023
Deep incremental learning models for financial temporal tabular datasets with distribution shifts Thomas Wong Mauricio Barahona OOD AIFin AI4TS 18 0 0 14 Mar 2023
Enhancing MAP-Elites with Multiple Parallel Evolution Strategies Manon Flageat Bryan Lim Antoine Cully 27 2 0 10 Mar 2023
RACCER: Towards Reachable and Certain Counterfactual Explanations for Reinforcement Learning Jasmina Gajcin Ivana Dusparic CML 32 3 0 08 Mar 2023
A Strategy-Oriented Bayesian Soft Actor-Critic Model Qin Yang Ramviyas Parasuraman 11 8 0 07 Mar 2023
Ensemble Reinforcement Learning: A Survey Yanjie Song Ponnuthurai Nagaratnam Suganthan Witold Pedrycz Junwei Ou Yongming He Y. Chen Yutong Wu OffRL 46 39 0 05 Mar 2023
Reinforced Labels: Multi-Agent Deep Reinforcement Learning for Point-Feature Label Placement Petr Bobák Ladislav Čmolík Martin Cadík OffRL 32 3 0 02 Mar 2023
Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments Tung Thai Mingyu Shen M. Garg Ayush Kalani Nakul Vaidya ... Neeraj Varshney Chitta Baral Subbarao Kambhampati Jivko Sinapov matthias. scheutz 34 0 0 28 Feb 2023
Diffusion Model-Augmented Behavioral Cloning Shangcheng Chen Hsiang-Chun Wang Ming-Hao Hsu Chun-Mao Lai Shao-Hua Sun DiffM 55 31 0 26 Feb 2023
Hierarchical Needs-driven Agent Learning Systems: From Deep Reinforcement Learning To Diverse Strategies Qin Yang 17 2 0 25 Feb 2023
Exploiting Unlabeled Data for Feedback Efficient Human Preference based Reinforcement Learning Mudit Verma Siddhant Bhambri Subbarao Kambhampati 37 4 0 17 Feb 2023
A State Augmentation based approach to Reinforcement Learning from Human Preferences Mudit Verma Subbarao Kambhampati 33 2 0 17 Feb 2023
Data Driven Reward Initialization for Preference based Reinforcement Learning Mudit Verma Subbarao Kambhampati 35 1 0 17 Feb 2023
Revisiting Bellman Errors for Offline Model Selection Joshua P. Zitovsky Daniel de Marchi Rishabh Agarwal Michael R. Kosorok University of North Carolina at Chapel Hill OffRL 32 5 0 31 Jan 2023
CRC-RL: A Novel Visual Feature Representation Architecture for Unsupervised Reinforcement Learning Darshita Jain A. Majumder S. Dutta Swagat Kumar SSL 34 1 0 31 Jan 2023
AI Tool for Exploring How Economic Activities Impact Local Ecosystems Claes Strannegaard Niklas Engsner Rasmus Lindgren Simon Olsson J. Endler 6 0 0 25 Jan 2023
Evolution of MAC Protocols in the Machine Learning Decade: A Comprehensive Survey Mostafa Hussien I. Taj-Eddin Mohammed F. A. Ahmed Ali Ranjha K. Nguyen M. Cheriet AI4TS 12 8 0 24 Jan 2023
RLAS-BIABC: A Reinforcement Learning-Based Answer Selection Using the BERT Model Boosted by an Improved ABC Algorithm Hamid Gharagozlou J. Mohammadzadeh A. Bastanfard S. S. Ghidary 8 34 0 07 Jan 2023
DRL-GAN: A Hybrid Approach for Binary and Multiclass Network Intrusion Detection Caroline Strickland Chandrika Saha Muhammad Zakar Sareh Nejad Noshin Tasnim D. Lizotte Anwar Haque 26 10 0 05 Jan 2023
Deep Spectral Q-learning with Application to Mobile Health Yuhe Gao C. Shi R. Song 32 0 0 03 Jan 2023
New Challenges in Reinforcement Learning: A Survey of Security and Privacy Yunjiao Lei Dayong Ye Sheng Shen Yulei Sui Tianqing Zhu Wanlei Zhou 33 18 0 31 Dec 2022
A Mapping of Assurance Techniques for Learning Enabled Autonomous Systems to the Systems Engineering Lifecycle Christian Ellis Maggie B. Wigness L. Fiondella 40 1 0 30 Dec 2022
Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games Chun Kai Ling J. Zico Kolter Fei Fang 35 0 0 29 Dec 2022
Discovering Efficient Periodic Behaviours in Mechanical Systems via Neural Approximators Yannik P. Wotte Sven Dummer N. Botteghi C. Brune Stefano Stramigioli Federico Califano 36 5 0 29 Dec 2022
Investigation of reinforcement learning for shape optimization of profile extrusion dies C. Fricke D. Wolff Marco Kemmerling S. Elgeti OffRL 6 4 0 23 Dec 2022
Robust Path Selection in Software-defined WANs using Deep Reinforcement Learning Shahrooz Pouryousef Lixin Gao Don Towsley 17 1 0 21 Dec 2022
A Memetic Algorithm with Reinforcement Learning for Sociotechnical Production Scheduling Felix Grumbach Nour Eldin Alaa Badr Pascal Reusch Sebastian Trojahn 6 6 0 21 Dec 2022