Deep Reinforcement Learning: An Overview

25 January 2017

Papers citing "Deep Reinforcement Learning: An Overview"

50 / 418 papers shown

Title
Deep Reinforcement Learning Based Framework for Mobile Energy Disseminator Dispatching to Charge On-the-Road Electric Vehicles Jiaming Wang Jiqian Dong Sikai Chen S. Sundaram S. Labi 14 0 0 29 Aug 2023
Data-Efficient Online Learning of Ball Placement in Robot Table Tennis Philip Tobuschat Hao Ma Dieter Buchler Bernhard Schölkopf Michael Muehlebach 20 1 0 28 Aug 2023
A Game of Bundle Adjustment -- Learning Efficient Convergence Amir Belder R. Vivanti A. Tal 10 2 0 25 Aug 2023
Actuator Trajectory Planning for UAVs with Overhead Manipulator using Reinforcement Learning Hazim Alzorgan Abolfazl Razi A. Moshayedi 14 3 0 24 Aug 2023
An Intentional Forgetting-Driven Self-Healing Method For Deep Reinforcement Learning Systems Ahmed Haj Yahmed Rached Bouchoucha Houssem Ben Braiek Foutse Khomh CLL AI4CE 20 0 0 23 Aug 2023
Deploying Deep Reinforcement Learning Systems: A Taxonomy of Challenges Ahmed Haj Yahmed Altaf Allah Abbassi Amin Nikanjam Heng Li Foutse Khomh OffRL 11 5 0 23 Aug 2023
A Survey on Large Language Model based Autonomous Agents Lei Wang Chengbang Ma Xueyang Feng Zeyu Zhang Hao-ran Yang ... Xu Chen Yankai Lin Wayne Xin Zhao Zhewei Wei Ji-Rong Wen LLMAG AI4CE LM&Ro 39 1,112 0 22 Aug 2023
On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems Xiaocong Chen Siyu Wang Julian McAuley Dietmar Jannach Lina Yao OffRL 8 5 0 22 Aug 2023
Federated Reinforcement Learning for Electric Vehicles Charging Control on Distribution Networks Junkai Qian Yuning Jiang Xin Liu Qiong Wang Ting Wang Yuanming Shi Wei-Neng Chen 20 19 0 17 Aug 2023
Insurance pricing on price comparison websites via reinforcement learning Tanut Treetanthiploet Yufei Zhang Lukasz Szpruch Isaac Bowers-Barnard Henrietta Ridley James Hickey C. Pearce OffRL 11 2 0 14 Aug 2023
A Large Language Model Enhanced Conversational Recommender System Yue Feng Shuchang Liu Zhenghai Xue Qingpeng Cai Lantao Hu Peng Jiang Kun Gai Fei Sun LRM 16 39 0 11 Aug 2023
Avoidance Navigation Based on Offline Pre-Training Reinforcement Learning W. Yang Hao Lei OffRL 20 1 0 03 Aug 2023
Formally Explaining Neural Networks within Reactive Systems Shahaf Bassan Guy Amir Davide Corsi Idan Refaeli Guy Katz AAML 17 15 0 31 Jul 2023
DeepTSF: Codeless machine learning operations for time series forecasting Sotiris Pelekis Evangelos Karakolis Theodosios Pountridis Georgios Kormpakis G. Lampropoulos S. Mouzakitis D. Askounis AI4TS AI4CE 13 9 0 28 Jul 2023
A Multiobjective Reinforcement Learning Framework for Microgrid Energy Management M. V. Liu P. Reed D. Gold Garret Quist C. L. Anderson 14 1 0 17 Jul 2023
A Survey From Distributed Machine Learning to Distributed Deep Learning Mohammad Dehghani Zahra Yazdanparast 8 0 0 11 Jul 2023
Trajectory Generation, Control, and Safety with Denoising Diffusion Probabilistic Models N. Botteghi Federico Califano M. Poel C. Brune DiffM AI4CE 13 10 0 27 Jun 2023
Beyond dynamic programming Abhinav Muraleedharan 11 0 0 26 Jun 2023
Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap Hang Wang Sen Lin Junshan Zhang OffRL OnRL 15 3 0 20 Jun 2023
A Brief Review of Hypernetworks in Deep Learning Vinod Kumar Chauhan Jiandong Zhou Ping Lu Soheila Molaei David A. Clifton 25 93 0 12 Jun 2023
Learned spatial data partitioning Keizo Hori Yuya Sasaki Daichi Amagata Y. Murosaki Makoto Onizuka 8 3 0 08 Jun 2023
Agent Performing Autonomous Stock Trading under Good and Bad Situations Yunfei Luo Zhan-Sheng Duan AIFin 18 0 0 06 Jun 2023
Sparsifying Bayesian neural networks with latent binary variables and normalizing flows Lars Skaaret-Lund G. Storvik A. Hubin BDL UQCV 28 3 0 05 May 2023
Systematic Review on Reinforcement Learning in the Field of Fintech Nadeem Malibari Iyad A. Katib Rashid Mehmood OffRL 13 3 0 29 Apr 2023
Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey Chao Yu Xuejing Zheng H. Zhuo OffRL LRM 53 7 0 24 Apr 2023
AwesomeMeta+: A Mixed-Prototyping Meta-Learning System Supporting AI Application Design Anywhere Jingyao Wang Chuyuan Zhang Ye Ding Yuxuan Yang Fuchun Sun VLM 19 0 0 24 Apr 2023
DEIR: Efficient and Robust Exploration through Discriminative-Model-Based Episodic Intrinsic Rewards Shanchuan Wan Yujin Tang Yingtao Tian Tomoyuki Kaneko OffRL 12 4 0 21 Apr 2023
Model Based Reinforcement Learning for Personalized Heparin Dosing Qinyang He Yonatan Dov Mintz OffRL 14 1 0 19 Apr 2023
TC-VAE: Uncovering Out-of-Distribution Data Generative Factors Cristian Meo Anirudh Goyal Justin Dauwels DRL CoGe CML 19 1 0 08 Apr 2023
Effective control of two-dimensional Rayleigh--Bénard convection: invariant multi-agent reinforcement learning is all you need Colin Vignon Jean Rabault Joel Vasanth Francisco Alcántara-Ávila M. Mortensen Ricardo Vinuesa AI4CE 14 38 0 05 Apr 2023
Adaptive Feature Fusion: Enhancing Generalization in Deep Learning Models Neelesh Mungoli 28 23 0 04 Apr 2023
Understanding Reinforcement Learning Algorithms: The Progress from Basic Q-learning to Proximal Policy Optimization M. Chadi H. Mousannif OffRL 11 4 0 31 Mar 2023
Recent Advances and Applications of Machine Learning in Experimental Solid Mechanics: A Review Hanxun Jin Enrui Zhang H. Espinosa AI4CE 15 68 0 14 Mar 2023
A Categorical Framework of General Intelligence Yang Yuan 15 1 0 08 Mar 2023
Evolutionary Reinforcement Learning: A Survey Hui Bai Ran Cheng Yaochu Jin OffRL 43 52 0 07 Mar 2023
A Reinforcement Learning Framework for Online Speaker Diarization Baihan Lin Xinxin Zhang OffRL 26 2 0 21 Feb 2023
AutoDOViz: Human-Centered Automation for Decision Optimization D. Weidele S. Afzal Abel N. Valente Cole Makuch Owen Cornec ... Radu Marinescu Paulito Palmes Elizabeth M. Daly Loraine Franke D. Haehn OffRL 35 4 0 19 Feb 2023
AIIR-MIX: Multi-Agent Reinforcement Learning Meets Attention Individual Intrinsic Reward Mixing Network Wei Li Weiyan Liu Shitong Shao Shiyi Huang 13 3 0 19 Feb 2023
Graph Learning Based Decision Support for Multi-Aircraft Take-Off and Landing at Urban Air Mobility Vertiports Prajit K. Kumar Jhoel Witter Steve Paul Karthik Dantu Souma Chowdhury 9 3 0 12 Feb 2023
Verifying Generalization in Deep Learning Guy Amir Osher Maayan Tom Zelazny Guy Katz Michael Schapira AAML AI4CE 16 14 0 11 Feb 2023
A Survey on Causal Reinforcement Learning Yan Zeng Ruichu Cai Fuchun Sun Libo Huang Z. Hao CML 26 27 0 10 Feb 2023
Skill Decision Transformer Shyam Sudhakaran S. Risi OffRL 10 5 0 31 Jan 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 25 3 0 21 Jan 2023
Recent advances in artificial intelligence for retrosynthesis Zipeng Zhong Jie Song Zunlei Feng Tiantao Liu Lingxiang Jia Shaolun Yao Tingjun Hou Mingli Song 24 5 0 14 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 10 9 0 05 Jan 2023
Value Enhancement of Reinforcement Learning via Efficient and Robust Trust Region Optimization C. Shi Zhengling Qi Jianing Wang Fan Zhou OffRL 12 3 0 05 Jan 2023
Off-Policy Reinforcement Learning with Loss Function Weighted by Temporal Difference Error Bumgeun Park Taeyoung Kim Woohyeon Moon L. Vecchietti Dongsoo Har OffRL 13 2 0 26 Dec 2022
Simultaneously Optimizing Perturbations and Positions for Black-box Adversarial Patch Attacks Xingxing Wei Yingjie Guo Jie Yu Bo Zhang AAML 10 49 0 26 Dec 2022
Design and Planning of Flexible Mobile Micro-Grids Using Deep Reinforcement Learning Cesare Caputo Michel-Alexandre Cardin Pudong Ge Fei Teng A. Korre Ehecatl Antonio del Rio Chanona 9 18 0 08 Dec 2022
Reinforcement Learning for Resilient Power Grids Zhenting Zhao Po-Yen Chen Yucheng Jin AI4CE 12 4 0 08 Dec 2022