Dueling Network Architectures for Deep Reinforcement Learning

20 November 2015

Papers citing "Dueling Network Architectures for Deep Reinforcement Learning"

50 / 362 papers shown

Title
Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs Zijian An Lifeng Zhou 26 0 0 08 May 2025
Graph Neural Network-Based Reinforcement Learning for Controlling Biological Networks: The GATTACA Framework Andrzej Mizera Jakub Zarzycki GNN AI4CE 34 0 0 05 May 2025
Integration of Multi-Mode Preference into Home Energy Management System Using Deep Reinforcement Learning Mohammed Sumayli Olugbenga Moses Anubi 19 0 0 02 May 2025
Approximation to Deep Q-Network by Stochastic Delay Differential Equations Jianya Lu Yingjun Mo 33 0 0 01 May 2025
Multi-Agent Reinforcement Learning for Resources Allocation Optimization: A Survey Mohamad Abdul Hady Siyi Hu Mahardhika Pratama Jimmy Cao Ryszard Kowalczyk 24 0 0 29 Apr 2025
Graph Reinforcement Learning for QoS-Aware Load Balancing in Open Radio Access Networks Omid Semiari Hosein Nikopour S. Talwar 39 0 0 28 Apr 2025
Interactive Double Deep Q-network: Integrating Human Interventions and Evaluative Predictions in Reinforcement Learning of Autonomous Driving Alkis Sygkounas Ioannis Athanasiadis A. Persson M. Felsberg Amy Loutfi OffRL 28 0 0 28 Apr 2025
Deep Reinforcement Learning Algorithms for Option Hedging Andrei Neagu Frédéric Godin Leila Kosseim 26 0 0 07 Apr 2025
A Generalist Hanabi Agent Arjun Vaithilingam Sudhakar Hadi Nekoei Mathieu Reymond Miao Liu Janarthanan Rajendran Sarath Chandar 157 0 0 17 Mar 2025
Reinforcement Learning with Curriculum-inspired Adaptive Direct Policy Guidance for Truck Dispatching Shi Meng Bin Tian Xiaotong Zhang OffRL 38 0 0 28 Feb 2025
Divergence-Augmented Policy Optimization Qing Wang Yingru Li Jiechao Xiong Tong Zhang OffRL 39 16 0 28 Jan 2025
Revisiting Ensemble Methods for Stock Trading and Crypto Trading Tasks at ACM ICAIF FinRL Contest 2023-2024 Nikolaus Holzer Keyi Wang Kairong Xiao Xiao-Yang Liu Yanglet AIFin 30 1 0 18 Jan 2025
Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model Jing Zhang Linjiajie Fang Kexin Shi Wenjia Wang Bing-Yi Jing OffRL 36 0 0 27 Oct 2024
Uncovering RL Integration in SSL Loss: Objective-Specific Implications for Data-Efficient RL Ömer Veysel Çağatan Barış Akgün OffRL 34 0 0 22 Oct 2024
SAPIENT: Mastering Multi-turn Conversational Recommendation with Strategic Planning and Monte Carlo Tree Search Hanwen Du B. Peng Xia Ning 38 0 0 12 Oct 2024
Autonomous Vehicle Controllers From End-to-End Differentiable Simulation Asen Nachkov Danda Pani Paudel Luc Van Gool 34 0 0 12 Sep 2024
A Comparative Study of Deep Reinforcement Learning Models: DQN vs PPO vs A2C Neil De La Fuente Daniel A. Vidal Guerra OffRL 19 5 0 19 Jul 2024
Segmenting Medical Images with Limited Data Zhaoshan Liua Qiujie Lv Chau Hung Lee L. Shen 59 11 0 12 Jul 2024
Simplifying Deep Temporal Difference Learning Matteo Gallici Mattie Fellows Benjamin Ellis B. Pou Ivan Masmitja Jakob Foerster Mario Martin OffRL 59 14 0 05 Jul 2024
MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading Chuqiao Zong Chaojie Wang Molei Qin Lei Feng Xinrun Wang Bo An AIFin 29 3 0 20 Jun 2024
ADESSE: Advice Explanations in Complex Repeated Decision-Making Environments Sören Schleibaum Lu Feng Sarit Kraus Jörg P. Müller 38 2 0 31 May 2024
Generalized Multi-Objective Reinforcement Learning with Envelope Updates in URLLC-enabled Vehicular Networks Zijiang Yan Hina Tabassum 22 2 0 18 May 2024
Hierarchical Resource Partitioning on Modern GPUs: A Reinforcement Learning Approach Urvij Saroliya Eishi Arima Dai Liu Martin Schulz 30 1 0 14 May 2024
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories Ning Yang Shuo Chen Haijun Zhang Randall Berry OffRL 29 6 0 22 Apr 2024
An Improved Strategy for Blood Glucose Control Using Multi-Step Deep Reinforcement Learning Weiwei Gu Senquan Wang 35 5 0 12 Mar 2024
Koopman-Assisted Reinforcement Learning Preston Rozwood Edward Mehrez Ludger Paehler Wen Sun Steven L. Brunton 34 6 0 04 Mar 2024
Symmetry-Breaking Augmentations for Ad Hoc Teamwork Ravi Hammond Dustin Craggs Mingyu Guo Jakob Foerster Ian Reid 29 1 0 15 Feb 2024
Deep Reinforcement Learning for Controlled Traversing of the Attractor Landscape of Boolean Models in the Context of Cellular Reprogramming Andrzej Mizera Jakub Zarzycki 19 0 0 13 Feb 2024
ORIENT: A Priority-Aware Energy-Efficient Approach for Latency-Sensitive Applications in 6G Masoud Shokrnezhad T. Taleb 30 2 0 10 Feb 2024
Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice via HyperAgent Yingru Li Jiawei Xu Lei Han Zhi-Quan Luo BDL OffRL 26 6 0 05 Feb 2024
The RL/LLM Taxonomy Tree: Reviewing Synergies Between Reinforcement Learning and Large Language Models M. Pternea Prerna Singh Abir Chakraborty Y. Oruganti M. Milletarí Sayli Bapat Kebei Jiang OffRL 18 7 0 02 Feb 2024
Deep Reinforcement Multi-agent Learning framework for Information Gathering with Local Gaussian Processes for Water Monitoring S. Luis D. Shutin J. M. Gómez Daniel Gutiérrez-Reina Sergio L. Toral Marín 23 7 0 09 Jan 2024
Semi-supervised learning via DQN for log anomaly detection Yingying He Xiaobing Pei Lihong Shen 33 1 0 06 Jan 2024
Mobile Edge Computing and AI Enabled Web3 Metaverse over 6G Wireless Communications: A Deep Reinforcement Learning Approach Wen-li Yu Terence Jie Chua Jun Zhao 24 0 0 11 Dec 2023
Unsupervised Social Event Detection via Hybrid Graph Contrastive Learning and Reinforced Incremental Clustering Yuanyuan Guo Zehua Zang Hang Gao Xiao Xu Rui Wang Lixiang Liu Jiangmeng Li 26 5 0 08 Dec 2023
Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning Yaoquan Wei Shunyu Liu Jie Song Tongya Zheng Kaixuan Chen Yong Wang Mingli Song 25 0 0 28 Nov 2023
From Images to Connections: Can DQN with GNNs learn the Strategic Game of Hex? Yannik Keller Jannis Blüml Gopika Sudhakaran Kristian Kersting GNN 19 0 0 22 Nov 2023
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning M. Gerstgrasser Tom Danino Sarah Keren 21 5 0 01 Nov 2023
Learning to bag with a simulation-free reinforcement learning framework for robots Francisco Munguia-Galeano Jihong Zhu Juan David Hernández Ze Ji 22 0 0 22 Oct 2023
Deep Reinforcement Learning for Artificial Upwelling Energy Management Yiyuan Zhang Wei Fan 15 3 0 20 Aug 2023
SMARLA: A Safety Monitoring Approach for Deep Reinforcement Learning Agents Amirhossein Zolfagharian Manel Abdellatif Lionel C. Briand S. Ramesh 25 5 0 03 Aug 2023
Deep Attention Q-Network for Personalized Treatment Recommendation Simin Ma Junghwan Lee N. Serban Shihao Yang OffRL 35 5 0 04 Jul 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
Bigger, Better, Faster: Human-level Atari with human-level efficiency Max Schwarzer J. Obando-Ceron Aaron C. Courville Marc G. Bellemare Rishabh Agarwal P. S. Castro OffRL 43 82 0 30 May 2023
VA-learning as a more efficient alternative to Q-learning Yunhao Tang Rémi Munos Mark Rowland Michal Valko OffRL 13 6 0 29 May 2023
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse Jiafei Lyu Le Wan Zongqing Lu Xiu Li OffRL 26 9 0 29 May 2023
A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU Farhad Shiri Thinagaran Perumal N. Mustapha Raihani Mohamed AILaw SyDa ELM AI4TS 37 129 0 27 May 2023
Testing of Deep Reinforcement Learning Agents with Surrogate Models Matteo Biagiola Paolo Tonella 33 19 0 22 May 2023
Black-Box Targeted Reward Poisoning Attack Against Online Deep Reinforcement Learning Yinglun Xu Gagandeep Singh OffRL AAML 26 2 0 18 May 2023
Assessing the Impact of Context Inference Error and Partial Observability on RL Methods for Just-In-Time Adaptive Interventions Karine Karine P. Klasnja Susan A. Murphy Benjamin M. Marlin OffRL 14 1 0 17 May 2023