Deep Reinforcement Learning with Double Q-learning

22 September 2015

David Silver

Papers citing "Deep Reinforcement Learning with Double Q-learning"

50 / 933 papers shown

Title
Fish-inspired tracking of underwater turbulent plumes Peter Gunnarson J. Dabiri 35 4 0 10 Mar 2024
Dissecting Deep RL with High Update Ratios: Combatting Value Divergence Marcel Hussing C. Voelcker Igor Gilitschenski Amir-massoud Farahmand Eric Eaton 47 3 0 09 Mar 2024
Koopman-Assisted Reinforcement Learning Preston Rozwood Edward Mehrez Ludger Paehler Wen Sun Steven L. Brunton 45 7 0 04 Mar 2024
EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation Yuqiao Wen Behzad Shayegh Chenyang Huang Yanshuai Cao Lili Mou 63 5 0 29 Feb 2024
Multistatic-Radar RCS-Signature Recognition of Aerial Vehicles: A Bayesian Fusion Approach Michael Potter M. Akçakaya Marius Necsoiu G. Schirner Deniz Erdogmus Tales Imbiriba 38 2 0 28 Feb 2024
Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2) Qifeng Li Xiaosong Jia Shaobo Wang Junchi Yan 48 28 0 26 Feb 2024
ACE : Off-Policy Actor-Critic with Causality-Aware Entropy Regularization Tianying Ji Yongyuan Liang Yan Zeng Yu-Juan Luo Guowei Xu Jiawei Guo Ruijie Zheng Furong Huang Gang Hua Huazhe Xu CML 55 11 0 22 Feb 2024
Computation Offloading for Multi-server Multi-access Edge Vehicular Networks: A DDQN-based Method Siyu Wang Bo Yang Zhiwen Yu Xuelin Cao Yan Zhang Chau Yuen 19 0 0 21 Feb 2024
The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning Anya Sims Cong Lu Yee Whye Teh OffRL 41 3 0 19 Feb 2024
Symmetry-Breaking Augmentations for Ad Hoc Teamwork Ravi Hammond Dustin Craggs Mingyu Guo Jakob Foerster Ian Reid 34 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 27 0 0 13 Feb 2024
Scaling Artificial Intelligence for Digital Wargaming in Support of Decision-Making Scotty Black Christian J. Darken 19 2 0 08 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 36 5 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 36 8 0 02 Feb 2024
Neural Style Transfer with Twin-Delayed DDPG for Shared Control of Robotic Manipulators R. Fernandez-Fernandez Marco Aggravi P. Giordano J. Victores C. Pacchierotti 38 4 0 01 Feb 2024
Transferring human emotions to robot motions using Neural Policy Style Transfer R. Fernandez-Fernandez Bartek Łukawski J. Victores C. Pacchierotti 29 22 0 01 Feb 2024
A comparison of RL-based and PID controllers for 6-DOF swimming robots: hybrid underwater object tracking F. Lotfi K. Virji Nicholas Dudek Gregory Dudek 27 0 0 29 Jan 2024
Regularized Q-Learning with Linear Function Approximation Jiachen Xi Alfredo Garcia P. Momcilovic 42 2 0 26 Jan 2024
Modeling and Optimization of Epidemiological Control Policies Through Reinforcement Learning Ishir Rao 21 1 0 25 Jan 2024
UOEP: User-Oriented Exploration Policy for Enhancing Long-Term User Experiences in Recommender Systems Changshuo Zhang Sirui Chen Xiao Zhang Sunhao Dai Weijie Yu Jun Xu OffRL 45 1 0 17 Jan 2024
Bridging State and History Representations: Understanding Self-Predictive RL Tianwei Ni Benjamin Eysenbach Erfan Seyedsalehi Michel Ma Clement Gehring Aditya Mahajan Pierre-Luc Bacon AI4TS AI4CE 31 22 0 17 Jan 2024
Decision Making in Non-Stationary Environments with Policy-Augmented Search Ava Pettet Yunuo Zhang Baiting Luo Kyle Wray Hendrik Baier Aron Laszka Abhishek Dubey Ayan Mukhopadhyay 22 4 0 06 Jan 2024
RL-MPCA: A Reinforcement Learning Based Multi-Phase Computation Allocation Approach for Recommender Systems Jiahong Zhou Shunhui Mao Guoliang Yang Bo Tang Qianlong Xie Lebin Lin Xingxing Wang Dong Wang 37 8 0 27 Dec 2023
Conservative Exploration for Policy Optimization via Off-Policy Policy Evaluation Paul Daoudi Mathias Formoso Othman Gaizi Achraf Azize Evrard Garcelon OffRL 31 0 0 24 Dec 2023
Human-AI Collaboration in Real-World Complex Environment with Reinforcement Learning Md Saiful Islam Srijita Das S. Gottipati William Duguay Clodéric Mars Jalal Arabneydi Antoine Fagette Matthew J. Guzdial Matthew E. Taylor 41 1 0 23 Dec 2023
Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects Min Hua Dong Chen Xinda Qi Kun Jiang Z. Liu Quan Zhou Hongming Xu 33 10 0 18 Dec 2023
Episodic Return Decomposition by Difference of Implicitly Assigned Sub-Trajectory Reward Hao-Chu Lin Hongqiu Wu Jiaji Zhang Yihao Sun Junyin Ye Yang Yu 34 2 0 17 Dec 2023
Multi-agent Reinforcement Learning: A Comprehensive Survey Dom Huh Prasant Mohapatra AI4CE 40 8 0 15 Dec 2023
An Invitation to Deep Reinforcement Learning Bernhard Jaeger Andreas Geiger OffRL OOD 80 5 0 13 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 39 6 0 08 Dec 2023
Digital Twin-Enhanced Deep Reinforcement Learning for Resource Management in Networks Slicing Zhengming Zhang Yongming Huang Cheng Zhang Qingbi Zheng Luxi Yang Xiaohu You 34 12 0 28 Nov 2023
Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning Yaoquan Wei Shunyu Liu Mingli Song Tongya Zheng Kaixuan Chen Yong Wang Mingli Song 30 0 0 28 Nov 2023
Mission-driven Exploration for Accelerated Deep Reinforcement Learning with Temporal Logic Task Specifications Jun Wang Hosein Hasanbeig Kaiyuan Tan Zihe Sun Y. Kantaros 40 3 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 40 0 0 22 Nov 2023
Autonomous Port Navigation With Ranging Sensors Using Model-Based Reinforcement Learning Siemen Herremans Ali Anwar Arne Troch Ian Ravijts Maarten Vangeneugden Siegfried Mercelis P. Hellinckx 33 1 0 17 Nov 2023
Guaranteeing Control Requirements via Reward Shaping in Reinforcement Learning F. D. Lellis M. Coraggio G. Russo Mirco Musolesi Mario di Bernardo OffRL 35 4 0 16 Nov 2023
CLIP-Motion: Learning Reward Functions for Robotic Actions Using Consecutive Observations Xuzhe Dang Stefan Edelkamp 42 4 0 06 Nov 2023
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning M. Gerstgrasser Tom Danino Sarah Keren 34 5 0 01 Nov 2023
On the Theory of Risk-Aware Agents: Bridging Actor-Critic and Economics Michal Nauman Marek Cygan 40 1 0 30 Oct 2023
TD-MPC2: Scalable, Robust World Models for Continuous Control Nicklas Hansen Hao Su Xiaolong Wang MU 48 132 0 25 Oct 2023
Combining Policy Gradient and Safety-Based Control for Autonomous Driving Xi Xiong Lu Liu 29 0 0 20 Oct 2023
LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework Woojun Kim Jeonghye Kim Young-Jin Sung 28 5 0 05 Oct 2023
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions Maziyar Khadivi Todd Charter Marjan Yaghoubi Masoud Jalayer Maryam Ahang Ardeshir Shojaeinasab Homayoun Najjaran 40 11 0 04 Oct 2023
Multi-Agent Reinforcement Learning Based on Representational Communication for Large-Scale Traffic Signal Control Rohit Bokade Xiaoning Jin Chris Amato 40 10 0 03 Oct 2023
A General Offline Reinforcement Learning Framework for Interactive Recommendation Teng Xiao Donglin Wang OffRL 44 73 0 01 Oct 2023
Gray-box Adversarial Attack of Deep Reinforcement Learning-based Trading Agents Foozhan Ataiefard Hadi Hemmati AAML 29 2 0 26 Sep 2023
Adapting Double Q-Learning for Continuous Reinforcement Learning Arsenii Kuznetsov OffRL OnRL 40 0 0 25 Sep 2023
Double Deep Q-Learning-based Path Selection and Service Placement for Latency-Sensitive Beyond 5G Applications Masoud Shokrnezhad T. Taleb Patrizio Dazzi 8 9 0 18 Sep 2023
Enhancing the Performance of Multi-Agent Reinforcement Learning for Controlling HVAC Systems Daniel R. Bayer M. Pruckner AI4CE 27 7 0 13 Sep 2023
R^3: On-device Real-Time Deep Reinforcement Learning for Autonomous Robotics Zexin Li Aritra Samanta Yufei Li Andrea Soltoggio Hyoseung Kim Cong Liu 39 6 0 29 Aug 2023