Deep Q-Networks

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Period ending 2026-09-21

1 new paper

A weekly snapshot of new work published in Deep Q-Networks.

Period ending 2026-09-14

1 new paper

A weekly snapshot of new work published in Deep Q-Networks.

Period ending 2026-09-07

2 new papers

A weekly snapshot of new work published in Deep Q-Networks.

57 papers

Latest in Deep Q-Networks

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  1. Adaptive Chemotherapy Control under Tumor Heterogeneity via Reinforcement Learning

    Sep 14, 2026Bereket Sitotaw Kidane, Md Samiul Haque Motayed, Shuo WangDeep Q-NetworksRadiotherapy

  2. Generative Replay Mitigates Sample Starvation in Quantum Architecture Search

    Sep 12, 2026Akash Kundu, Amit Kumar Jaiswal, Sebastian Feld +1Quantum Circuit SimulationDeep Q-Networks

  3. Local Updates, Global Learning (LUGL): Playing Games with non-incremental Learners

    Sep 3, 2026David Milec, Spyridon Samothrakis, Michael Fairbank +1Singular Learning TheoryImperfect-Information Games

  4. ToSCA: Leveraging Hierarchical Reinforcement Learning on Temporal and Strategic Abstractions of Conversational Agents

    Aug 22, 2026Xiaoyu Wang, Qingqing Gu, Yue Zhao +5Hierarchical Reinforcement LearningAgentic Reinforcement-Learning Framework

  5. Machine Learning-Based Cyber Defense for Cloud Infrastructure: An Adaptive Deep Q-Network Architecture for Intelligent Intrusion Detection and Automated Threat Mitigation

    Aug 12, 2026Md Yassir Mottalib, Md Yousuf, Eklachur Rahman Bhuiyan +5Intrusion DetectionCybersecurity

  6. Language-Structured Relational Q-Learning for Threat-Aware Control in Safety-Critical Driving

    Aug 11, 2026Aditya Humnabadkar, Huaizhong Zhang, Ardhendu BeheraQ-LearningDeep Q-Networks

  7. Dueling Deep Q-Learning for Intrusion Detection

    Aug 11, 2026Logan Luna, Matthew P. Berkowitz, Laxima Niure Kandel +1Intrusion DetectionDeep Q-Networks

  8. DSLE: A Learning Environment for Dark Souls Boss Encounters

    Aug 10, 2026Derin Gezgin, Jim O'Connor, Tanner Goodwin +1Deep Q-NetworksSingle-Agent Baselines

  9. Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks

    Aug 7, 2026Taha Shieenavaz, Shabnam Zareshahraki, Loris NanniDeep Q-NetworksDeep Reinforcement Learning

  10. Revisiting TD Target Aggregation under Uncertainty in Q-Learning

    Aug 4, 2026Lipeng Zu, Xiaonan ZhangQ-LearningDeep Q-Networks

  11. Optimal Reward Shaping: Autonomous Car Parking Case Study

    Jul 26, 2026Emre Özkaya, Nicolas R. GaugerPotential-Based Reward ShapingDeep Q-Networks

  12. When Every Simulation Counts: Value-Based Reinforcement Learning for Accelerated Photonics Inverse Design

    Jul 26, 2026Longying Wen, Feiyang Wu, Jinglin Yu +3Photonic DevicesDeep Q-Networks

  13. CLaC@FinMMEval 2026 Task 3: Sentiment-Augmented Deep Reinforcement Learning for Active Trading -- An Alpha-Reward Approach

    Jul 17, 2026Andrei Neagu, Eeham Khan, Leila KosseimDeep Reinforcement LearningDeep Q-Networks

  14. Reinforcement Learning for Execution under Dynamic Fees in a Closed-Loop DEX Simulator

    Jul 12, 2026Wen-Ting WangDecentralized FinanceDeep Q-Networks

  15. Spectral Analysis of Dueling Q-Learning

    Jul 9, 2026Donghwan LeeQ-LearningDeep Q-Networks

  16. RoAd-RL: A Unified Library and Benchmark for Robust Adversarial Reinforcement Learning

    Jun 29, 2026Adithya Mohan, Daniel Kriegl, Torsten SchönJoint Reinforcement LearningAdversarial Training

  17. Accelerating Q-learning through Efficient Value-Sharing across Actions

    Jun 29, 2026Prabhat Nagarajan, Brett Daley, Martha White +1Deep Q-NetworksQ-Learning

  18. Regularized Reward-Punishment Reinforcement Learning

    Jun 26, 2026Jiexin Wang, Eiji UchibeDeep Q-NetworksBellman Equation

  19. State Representation Matters in Deep Reinforcement Learning: Application to Energy Trading

    Jun 25, 2026Jesper Klicks, Sander Vržina, Vincent François-LavetDeep Q-NetworksDeep Reinforcement Learning

  20. Hierarchical Reinforcement Learning for Neural Network Compression (HiReLC): Pruning and Quantization

    Jun 24, 2026Kamar Hibatallah Baghdadi, Kawther Guoual Belhamidi, Sara Belhadj +2Context CompressionHierarchical Reinforcement Learning

  21. Breaking the Filter Bubble: A Semantic Pareto-DQN Framework for Multi-Objective Recommendation

    Jun 23, 2026Cláudio Lúcio Do Val Lopes, Lucca Machado da Silva, André de Oliveira BrandãoLarge-Scale Recommendation SystemsRecommendation

  22. FLYNN: Robust Neural Network for Robot Navigation using Fly Brain Topology

    Jun 21, 2026Benquan Wang, Jingdao ChenRecurrent Neural NetworksBrain Connectome Modality

  23. Deep Reinforcement Learning for Minimum Zero-Forcing Sets

    Jun 16, 2026Steve Halley, Maurício GruppiGraph Representation LearningMaximum Independent Set

  24. Deep Q-Learning on Hölder Spaces

    Jun 15, 2026Qian QiQ-LearningDeep Q-Networks

  25. On the Entropy Formula for Real, Complex, and Quaternionic Deep Linear Networks

    Jun 15, 2026Luis Contreras, Marco Nahas, Tejas KotwalDeep NetworkQuaternion

  26. Temporally Consistent Graph Q-Networks for Intelligent Network Control

    Jun 11, 2026Zacharias Veiksaar, Maxime BoutonDeep Q-NetworksMulti-Agent Reinforcement Learning

  27. Space-sampled Value Decay: Forgetting Mechanisms for Non-stationary Deep Reinforcement Learning

    Jun 10, 2026Felix Störck, Fabian Hinder, Barbara HammerDeep Q-NetworksCatastrophic Forgetting

  28. Discovering Interpretable Multi-Parameter Control Policies for Evolutionary Algorithms Using Deep Reinforcement Learning

    Jun 8, 2026Tai Nguyen, Phong Le, Carola Doerr +1Deep Q-NetworksControl System Operator Learning

  29. DNQ: Deep Nash Q-Network for Partially Observable n-Player Games

    Jun 4, 2026Qintong Xie, Edward Koh, Xavier Cadet +1Deep Q-NetworksImperfect-Information Games

  30. When Offline Selectors Cannot Beat the Best Single Model: A Diagnostic Study on edX Dropout Prediction

    Jun 2, 2026Tyler Crosse, Alan Nadelsticher Ruvalcaba, Dustin Khang LeDuc +3Model SelectionReward-Prediction Error

  31. QSplitFL: Capability Aware Deep Q-Learning for Optimal Split Point Selection in Split Federated Learning

    Jun 1, 2026Nazmus Shakib Shadin, Xinyue Zhang, Jingyi Wang +1Federated LearningDistributional Learning

  32. Structured Neuron Pruning in Deep Neural Networks Using Multi-Armed Bandits

    May 29, 2026Salem Ameen, Sunil VaderaModern Deep NetworksHeterogeneous Pruning Scores

  33. KISS: Keeping it Simple and Slotted when Learning to Communicate over Wireless

    May 29, 2026Kamil Szczech, Maksymilian Wojnar, Krzysztof Rusek +2Wireless NetworksMulti-Agent Reinforcement Learning

  34. ASTRO: Adaptive Spatio-Temporal Reinforcement Optimization for GNN Powered Anomly Detection in Cyber Physical Systems

    May 24, 2026Rai Ali Yar, Umaisa Lail, Anwar ShahAnomaly DetectionCyber-Physical System

  35. Scaling up Energy-Aware Multi-Agent Reinforcement Learning for Mission-Oriented Drone Networks with Individual Reward

    May 24, 2026Changling Li, Ying LiMulti-Drone CoordinationMulti-Agent Reinforcement Learning

  36. DRL-Driven Edge-Aware Utility Optimization for Multi-Slice 6G Networks

    May 21, 2026Khaled M. Naguib, Soumaya Cherkaoui, Mahmoud M. Elmessalawy +2Deep Q-NetworksVirtual Reality

  37. TabQL: In-Context Q-Learning with Tabular Foundation Models

    May 18, 2026Qisai Liu, Zhanhong Jiang, Timilehin Ayanlade +4Deep Q-NetworksQ-Learning

  38. Embodied Neurocomputation: A Framework for Interfacing Biological Neural Cultures with Scaled Task-Driven Validation

    May 13, 2026Johnson Zhou, Daniel Tanneberg, Forough Habibollahi +12Neuromorphic HardwareNeural Network

  39. Rainbow Deep Q-Learning with Kinematics-Aware Design for Cooperative Delta and 3-RRS Parallel Robot Insertion

    May 12, 2026Hassen Nigatu, Gaokun Shi, Jituo Li +2Deep Q-NetworksKinematics

  40. xApp Empowered Resource Management for Non-Terrestrial Users in 5G O-RAN Networks

    May 11, 2026Mohammed M. H. Qazzaz, Syed Ali Zaidi, Aubida A. Al-Hameed +2Open Radio Access NetworksMobile Networks

  41. Towards Model-Free Learning in Dynamic Population Games: An Application to Karma Economies

    May 11, 2026Matteo Cederle, Saverio Bolognani, Gian Antonio SustoDeep Q-NetworksModel-Free Reinforcement Learning

  42. A Cross-Layered Multi-Drone Coordination for Medical Supply Delivery during Disaster Response Management

    May 10, 2026Aneesh Calyam, Subrahmanya Chandra Bhamidipati, Zack Murry +1Multi-Drone CoordinationCoordination

  43. Revisiting Adam for Streaming Reinforcement Learning

    May 7, 2026Florin Gogianu, Adrian Catalin Lutu, Razvan PascanuDeep Q-NetworksDeep Reinforcement Learning

  44. Beyond the Independence Assumption: Finite-Sample Guarantees for Deep Q-Learning under τ-Mixing

    May 7, 2026Leon Halgryn, Sophie Langer, Janusz M. Meylahn +1Deep Q-NetworksLearning Dynamics

  45. When Actions Disappear: Adversarial Action Removal in Self-Play Reinforcement Learning

    May 4, 2026Arahan KujurSelf-PlayAdversaries

  46. Dueling DDQN-Based Adaptive Multi-Objective Handover Optimization for LEO Satellite Networks

    May 4, 2026Po-Heng Chou, Chiapin Wang, Chung-Chi Huang +1SatelliteWireless Resource Allocation

  47. Spatial-Temporal Learning-Based Distributed Routing for Dynamic LEO Satellite Networks

    May 4, 2026Po-Heng Chou, Chiapin Wang, Shou-Yu Chen +1SatelliteAdaptive Routing

  48. Reinforcement Learning Trained Observer Control for Bearings-Only Tracking

    May 4, 2026Branko Ristic, Sanjeev ArulampalamExtended Kalman FilterDeep Q-Networks

  49. Uncertainty-Aware Reward Discounting for Mitigating Reward Hacking

    Apr 29, 2026Disha SinghaReinforcement Learning From Human FeedbackEpistemic Uncertainty

  50. DGLight: DQN-Guided GRPO Fine-Tuning of Large Language Models for Traffic Signal Control

    Apr 28, 2026Chenbo YuIterative Reinforcement LearningGroup Relative Policy Optimization

  51. A Comparative Analysis on the Performance of Upper Confidence Bound Algorithms in Adaptive Deep Neural Networks

    Apr 27, 2026Grigorios Papanikolaou, Ioannis Kontopoulos, Konstantinos TserpesModern Deep NetworksEdge Computing

  52. Deep Learning for Sequential Decision Making under Uncertainty: Foundations, Frameworks, and Frontiers

    Apr 13, 2026I. Esra BuyuktahtakinSequential Decision MakingUncertainty-Aware Inference

  53. Meta-Learning-Assisted Constraint Relaxation for Constrained Black-Box Optimization

    Jan 31, 2026Sijie Ma, Zeyuan Ma, Yue-Jiao Gong +1Black-Box OptimizationOptimal Policies

  54. Ensemble Elastic DQN: A Step Dependent Ensemble Approach for Reducing Overestimation in Deep Value-Based Reinforcement Learning

    Jun 6, 2025Adrian Ly, Richard Dazeley, Peter Vamplew +2Deep Q-NetworksEnsemble

  55. Enabling Energy-Efficient Simultaneous Multi-Task Reinforcement Learning through Spiking Neural Networks with Active Dendrites for Bio-inspired Generalist Agents

    Dec 6, 2024Rachmad Vidya Wicaksana Putra, Avaneesh Devkota, Muhammad ShafiqueMulti-Task Reinforcement LearningSpiking Neural Networks

  56. Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion

    Aug 19, 2024Achref Jaziri, Etienne Künzel, Visvanathan RameshEfficient Continual LearningContinual Learning Methods

  57. Topology-Guided Modular Actor-Critic Learning for Continuous Systems under Temporal Objectives

    Apr 20, 2023Lening Li, Zhentian Qian, Jianan Xia +7Soft Actor-CriticModel-Free Reinforcement Learning