{"total":206,"rows":[{"id":"2112.04553","title":"Recent Advances in Reinforcement Learning in Finance","created":"2021-12-08","cited_by_count":110,"area":null},{"id":"2212.05767","title":"A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multimodal","created":"2022-12-12","cited_by_count":106,"area":null},{"id":"2101.07123","title":"Learning Successor States and Goal-Dependent Values: A Mathematical Viewpoint","created":"2021-01-18","cited_by_count":70,"area":null},{"id":"2405.04760","title":"Large Language Models for Cyber Security: A Systematic Literature Review","created":"2024-05-08","cited_by_count":68,"area":null},{"id":"2304.14670","title":"Prompt Engineering for Healthcare: Methodologies and Applications","created":"2023-04-28","cited_by_count":52,"area":null},{"id":"2108.11510","title":"Deep Reinforcement Learning in Computer Vision: A Comprehensive Survey","created":"2021-08-25","cited_by_count":43,"area":null},{"id":"2107.12045","title":"How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review","created":"2021-07-26","cited_by_count":39,"area":null},{"id":"2202.07141","title":"Machine Learning in Aerodynamic Shape Optimization","created":"2022-02-15","cited_by_count":39,"area":null},{"id":"2109.10129","title":"Learning General Optimal Policies with Graph Neural Networks: Expressive Power, Transparency, and Limits","created":"2021-09-21","cited_by_count":38,"area":null},{"id":"2110.13484","title":"Applications of Multi-Agent Reinforcement Learning in Future Internet: A Comprehensive Survey","created":"2021-10-26","cited_by_count":34,"area":null},{"id":"2508.13148","title":"MDPO: Overcoming the Training-Inference Divide of Masked Diffusion Language Models","created":"2025-08-18","cited_by_count":32,"area":"diffusion"},{"id":"2305.18420","title":"Sample Complexity of Variance-reduced Distributionally Robust Q-learning","created":"2023-05-28","cited_by_count":29,"area":null},{"id":"2110.01411","title":"Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey","created":"2021-09-28","cited_by_count":28,"area":null},{"id":"2209.08890","title":"An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey","created":"2022-09-19","cited_by_count":28,"area":null},{"id":"2401.10934","title":"A New Creative Generation Pipeline for Click-Through Rate with Stable Diffusion Model","created":"2024-01-17","cited_by_count":27,"area":"diffusion"},{"id":"2210.04561","title":"A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning","created":"2022-10-10","cited_by_count":25,"area":null},{"id":"2102.07247","title":"Reinforcement Learning for IoT Security: A Comprehensive Survey","created":"2021-02-14","cited_by_count":23,"area":null},{"id":"2201.01251","title":"Multi-Stage Episodic Control for Strategic Exploration in Text Games","created":"2022-01-04","cited_by_count":22,"area":null},{"id":"2205.06002","title":"Learning Generalized Policies Without Supervision Using GNNs","created":"2022-05-12","cited_by_count":22,"area":null},{"id":"2107.00783","title":"Reinforcement Learning for Feedback-Enabled Cyber Resilience","created":"2021-07-02","cited_by_count":19,"area":null},{"id":"2101.00135","title":"Faults in Deep Reinforcement Learning Programs: A Taxonomy and A Detection Approach","created":"2021-01-01","cited_by_count":18,"area":null},{"id":"2103.05292","title":"Deep Learning for Android Malware Defenses: a Systematic Literature Review","created":"2021-03-09","cited_by_count":18,"area":null},{"id":"2405.01440","title":"A Review of Reward Functions for Reinforcement Learning in the context of Autonomous Driving","created":"2024-04-12","cited_by_count":18,"area":"driving"},{"id":"2101.00240","title":"A Survey on Deep Reinforcement Learning for Audio-Based Applications","created":"2021-01-01","cited_by_count":17,"area":null},{"id":"2410.21966","title":"PrefPaint: Aligning Image Inpainting Diffusion Model with Human Preference","created":"2024-10-29","cited_by_count":17,"area":"diffusion"},{"id":"2204.03516","title":"Distributed Reinforcement Learning for Robot Teams: A Review","created":"2022-04-07","cited_by_count":16,"area":null},{"id":"2102.04033","title":"A Hybrid Bandit Model with Visual Priors for Creative Ranking in Display Advertising","created":"2021-02-08","cited_by_count":15,"area":null},{"id":"2402.01874","title":"The RL/LLM Taxonomy Tree: Reviewing Synergies Between Reinforcement Learning and Large Language Models","created":"2024-02-02","cited_by_count":15,"area":null},{"id":"2406.14096","title":"Graph Neural Networks for Job Shop Scheduling Problems: A Survey","created":"2024-06-20","cited_by_count":15,"area":null},{"id":"2301.10886","title":"Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning","created":"2023-01-26","cited_by_count":12,"area":null},{"id":"2204.01614","title":"MetaAID: A Flexible Framework for Developing Metaverse Applications via AI Technology and Human Editing","created":"2022-04-04","cited_by_count":11,"area":null},{"id":"2206.14917","title":"Towards out of distribution generalization for problems in mechanics","created":"2022-06-29","cited_by_count":11,"area":null},{"id":"2207.08457","title":"A Meta-Reinforcement Learning Algorithm for Causal Discovery","created":"2022-07-18","cited_by_count":11,"area":null},{"id":"2302.08913","title":"Referential communication in heterogeneous communities of pre-trained visual deep networks","created":"2023-02-04","cited_by_count":10,"area":null},{"id":"2306.02419","title":"Bad Habits: Policy Confounding and Out-of-Trajectory Generalization in RL","created":"2023-06-04","cited_by_count":10,"area":null},{"id":"2311.16091","title":"Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation","created":"2023-11-27","cited_by_count":10,"area":null},{"id":"2406.05064","title":"Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning","created":"2024-06-07","cited_by_count":10,"area":"offlinerl"},{"id":"2501.07468","title":"From Screens to Scenes: A Survey of Embodied AI in Healthcare","created":"2025-01-13","cited_by_count":10,"area":null},{"id":"2501.15893","title":"Benchmarking Quantum Reinforcement Learning","created":"2025-01-27","cited_by_count":10,"area":"deeprl"},{"id":"2101.04750","title":"Linear Representation Meta-Reinforcement Learning for Instant Adaptation","created":"2021-01-12","cited_by_count":9,"area":null},{"id":"2110.03595","title":"Generalization in Deep RL for TSP Problems via Equivariance and Local Search","created":"2021-10-07","cited_by_count":9,"area":null},{"id":"2103.05981","title":"Full Gradient DQN Reinforcement Learning: A Provably Convergent Scheme","created":"2021-03-10","cited_by_count":8,"area":null},{"id":"2105.04207","title":"Age of Information Aware VNF Scheduling in Industrial IoT Using Deep Reinforcement Learning","created":"2021-05-10","cited_by_count":8,"area":null},{"id":"2111.13978","title":"Deep Q-Learning based Reinforcement Learning Approach for Network Intrusion Detection","created":"2021-11-27","cited_by_count":8,"area":null},{"id":"2208.10921","title":"AI and 6G into the Metaverse: Fundamentals, Challenges and Future Research Trends","created":"2022-08-23","cited_by_count":8,"area":null},{"id":"2308.13420","title":"Reinforcement Learning-assisted Evolutionary Algorithm: A Survey and Research Opportunities","created":"2023-08-25","cited_by_count":8,"area":null},{"id":"2401.14702","title":"FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently","created":"2024-01-26","cited_by_count":8,"area":null},{"id":"2406.10540","title":"Generating and Evolving Reward Functions for Highway Driving with Large Language Models","created":"2024-06-15","cited_by_count":8,"area":"driving"},{"id":"2501.11533","title":"The impact of intrinsic rewards on exploration in Reinforcement Learning","created":"2025-01-20","cited_by_count":8,"area":"deeprl"},{"id":"2210.13611","title":"Understanding the Evolution of Linear Regions in Deep Reinforcement Learning","created":"2022-10-24","cited_by_count":7,"area":null},{"id":"2306.00840","title":"What model does MuZero learn?","created":"2023-06-01","cited_by_count":7,"area":null},{"id":"2307.01995","title":"Dynamic Feature-based Deep Reinforcement Learning for Flow Control of Circular Cylinder with Sparse Surface Pressure Sensing","created":"2023-07-05","cited_by_count":7,"area":null},{"id":"2403.15267","title":"Parametric PDE Control with Deep Reinforcement Learning and Differentiable L0-Sparse Polynomial Policies","created":"2024-03-22","cited_by_count":7,"area":"deeprl"},{"id":"2410.20487","title":"Efficient Diversity-based Experience Replay for Deep Reinforcement Learning","created":"2024-10-27","cited_by_count":7,"area":"deeprl"},{"id":"2505.15345","title":"Hadamax Encoding: Elevating Performance in Model-Free Atari","created":"2025-05-21","cited_by_count":7,"area":"deeprl"},{"id":"2104.13617","title":"End-to-End Intersection Handling using Multi-Agent Deep Reinforcement Learning","created":"2021-04-28","cited_by_count":6,"area":null},{"id":"2111.14598","title":"Multi-UAV Conflict Resolution with Graph Convolutional Reinforcement Learning","created":"2021-11-29","cited_by_count":6,"area":null},{"id":"2203.14749","title":"Adaptive Risk-Tendency: Nano Drone Navigation in Cluttered Environments with Distributional Reinforcement Learning","created":"2022-03-28","cited_by_count":6,"area":null},{"id":"2210.07802","title":"Object-Category Aware Reinforcement Learning","created":"2022-10-13","cited_by_count":6,"area":null},{"id":"2405.13574","title":"Reinforcement Learning for Adaptive MCMC","created":"2024-05-22","cited_by_count":6,"area":"deeprl"},{"id":"2104.12000","title":"A Deep Reinforcement Learning Approach for the Meal Delivery Problem","created":"2021-04-24","cited_by_count":5,"area":null},{"id":"2312.08365","title":"An Invitation to Deep Reinforcement Learning","created":"2023-12-13","cited_by_count":5,"area":null},{"id":"2503.13992","title":"The KoLMogorov Test: Compression by Code Generation","created":"2025-03-18","cited_by_count":5,"area":null},{"id":"2102.12616","title":"Modular Object-Oriented Games: A Task Framework for Reinforcement Learning, Psychology, and Neuroscience","created":"2021-02-25","cited_by_count":4,"area":null},{"id":"2111.02258","title":"Multi-Agent Deep Reinforcement Learning For Optimising Energy Efficiency of Fixed-Wing UAV Cellular Access Points","created":"2021-11-03","cited_by_count":4,"area":null},{"id":"2202.06253","title":"Autonomous Drone Swarm Navigation and Multi-target Tracking in 3D Environments with Dynamic Obstacles","created":"2022-02-13","cited_by_count":4,"area":null},{"id":"2202.13221","title":"RL-PGO: Reinforcement Learning-based Planar Pose-Graph Optimization","created":"2022-02-26","cited_by_count":4,"area":null},{"id":"2204.01597","title":"Optimising Energy Efficiency in UAV-Assisted Networks using Deep Reinforcement Learning","created":"2022-04-04","cited_by_count":4,"area":null},{"id":"2206.06827","title":"Variance Reduction for Policy-Gradient Methods via Empirical Variance Minimization","created":"2022-06-14","cited_by_count":4,"area":null},{"id":"2209.00671","title":"Deep reinforcement learning for quantum multiparameter estimation","created":"2022-09-01","cited_by_count":4,"area":null},{"id":"2301.05651","title":"Mutation Testing of Deep Reinforcement Learning Based on Real Faults","created":"2023-01-13","cited_by_count":4,"area":null},{"id":"2304.05073","title":"A Tale of Sampling and Estimation in Discounted Reinforcement Learning","created":"2023-04-11","cited_by_count":4,"area":null},{"id":"2306.07307","title":"Online Prototype Alignment for Few-shot Policy Transfer","created":"2023-06-12","cited_by_count":4,"area":null},{"id":"2401.08147","title":"Machine Learning on Dynamic Graphs: A Survey on Applications","created":"2024-01-16","cited_by_count":4,"area":null},{"id":"2402.01275","title":"Parametric-Task MAP-Elites","created":"2024-02-02","cited_by_count":4,"area":null},{"id":"2505.15293","title":"LLM-Explorer: A Plug-in Reinforcement Learning Policy Exploration Enhancement Driven by Large Language Models","created":"2025-05-21","cited_by_count":4,"area":null},{"id":"2507.04340","title":"Interactive Groupwise Comparison for Reinforcement Learning from Human Feedback","created":"2025-07-06","cited_by_count":4,"area":"alignment"},{"id":"2102.08993","title":"Using Distance Correlation for Efficient Bayesian Optimization","created":"2021-02-17","cited_by_count":3,"area":null},{"id":"2109.03975","title":"Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning","created":"2021-09-08","cited_by_count":3,"area":"safety"},{"id":"2110.02639","title":"On The Transferability of Deep-Q Networks","created":"2021-10-06","cited_by_count":3,"area":null},{"id":"2203.13854","title":"Quasi-Newton Iteration in Deterministic Policy Gradient","created":"2022-03-25","cited_by_count":3,"area":null},{"id":"2204.09603","title":"Comparing Deep Reinforcement Learning Algorithms in Two-Echelon Supply Chains","created":"2022-04-20","cited_by_count":3,"area":null},{"id":"2406.19825","title":"Reinforcement Learning for Efficient Design and Control Co-optimisation of Energy Systems","created":"2024-06-28","cited_by_count":3,"area":"deeprl"},{"id":"2407.10064","title":"Revolutionizing Bridge Operation and Maintenance with LLM-based Agents: An Overview of Applications and Insights","created":"2024-07-14","cited_by_count":3,"area":"agents"},{"id":"2501.04538","title":"HypeRL: Hypernetwork-Based Reinforcement Learning for Control of Parametrized Dynamical Systems","created":"2025-01-08","cited_by_count":3,"area":"deeprl"},{"id":"2503.05905","title":"Performance Comparisons of Reinforcement Learning Algorithms for Sequential Experimental Design","created":"2025-03-07","cited_by_count":3,"area":"deeprl"},{"id":"2505.06907","title":"A Survey on Foundation Models for Personalized Federated Intelligence","created":"2025-05-11","cited_by_count":3,"area":null},{"id":"2506.12622","title":"DR-SAC: Distributionally Robust Soft Actor-Critic for Reinforcement Learning under Uncertainty","created":"2025-06-14","cited_by_count":3,"area":"deeprl"},{"id":"2508.18903","title":"Distance-informed Neural Processes","created":"2025-08-26","cited_by_count":3,"area":null},{"id":"2512.19366","title":"Learning General Policies with Policy Gradient Methods","created":"2025-12-22","cited_by_count":3,"area":"deeprl"},{"id":"2105.12254","title":"Interpretable UAV Collision Avoidance using Deep Reinforcement Learning","created":"2021-05-25","cited_by_count":2,"area":null},{"id":"2110.10255","title":"A Simple Approach to Continual Learning by Transferring Skill Parameters","created":"2021-10-19","cited_by_count":2,"area":null},{"id":"2111.08995","title":"Self-Learning Tuning for Post-Silicon Validation","created":"2021-11-17","cited_by_count":2,"area":null},{"id":"2203.07889","title":"Comparing Two Samples Through Stochastic Dominance: A Graphical Approach","created":"2022-03-15","cited_by_count":2,"area":null},{"id":"2204.03771","title":"Q-learning with online random forests","created":"2022-04-07","cited_by_count":2,"area":null},{"id":"2207.08814","title":"PBRE: A Rule Extraction Method from Trained Neural Networks Designed for Smart Home Services","created":"2022-07-18","cited_by_count":2,"area":null},{"id":"2212.10936","title":"A Memetic Algorithm with Reinforcement Learning for Sociotechnical Production Scheduling","created":"2022-12-21","cited_by_count":2,"area":null},{"id":"2301.11737","title":"Modeling human road crossing decisions as reward maximization with visual perception limitations","created":"2023-01-27","cited_by_count":2,"area":null},{"id":"2305.02632","title":"A framework for the emergence and analysis of language in social learning agents","created":"2023-05-04","cited_by_count":2,"area":null},{"id":"2305.07466","title":"Systematic Review on Reinforcement Learning in the Field of Fintech","created":"2023-04-29","cited_by_count":2,"area":null}],"next_cursor":"100"}