reinforcement-learning

Documents about reinforcement-learning

• Reinforcement Learning from Human Feedback in LLMs: Whose Culture, Whose Values, Whose Perspectives?#707091PhilArchive
• When LLM Signals Hurt: A Coverage-Density Analysis of LLM-Augmented Reinforcement Learning for Stock Trading#181083OSF
• Advancements and Challenges in Machine Learning: A Comprehensive Review of Models, Libraries, Applications, and Algorithms#461964OpenAlex
• RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization#144336arXiv (OAI)
• The social transmission of linguistic alignment: the role of observational reinforcement learning#316564OSF
• Deep Learning and Reinforcement Learning for Autonomous Unmanned Aerial Systems: Roadmap for Theory to Deployment.#489661DBLP
• From Thermal Preference Prediction to Adaptive Thermal Intervention: A Reinforcement Learning Approach Using Physiological and Environmental Sensing#656859arXiv (OAI Expanded)
• CDRL: Certification-Driven Reinforcement Learning for Neutrino Flavor Model Discovery#657109arXiv (OAI Expanded)
• From Thermal Preference Prediction to Adaptive Thermal Intervention: A Reinforcement Learning Approach Using Physiological and Environmental Sensing#658995arXiv (All)
• CDRL: Certification-Driven Reinforcement Learning for Neutrino Flavor Model Discovery#659245arXiv (All)
• Agentic-Kube: A Graph-Enhanced Multi-Agent Reinforcement Learning Framework for Multi-Objective Kubernetes Scheduling#682607arXiv (OAI Expanded)
• Agentic-Kube: A Graph-Enhanced Multi-Agent Reinforcement Learning Framework for Multi-Objective Kubernetes Scheduling#684382arXiv (All)
• A novel multi−agent deep reinforcement learning framework for fast frequency response in inverter−based hybrid power plants#299042Research Online
• Ontology Synthesis Using Semi-Automatic Semantic AI Using Deep Learning and Reinforcement Learning.#489675DBLP
• Achieving Scale-Invariant Reinforcement Learning Performance with Reward Range Normalization#660471OSF
• Sharing the Control Authority Between Deep Reinforcement Learning and Model Predictive Control: Application to Multi-Class Transportation Networks#661002arXiv (OAI Expanded)
• Sharing the Control Authority Between Deep Reinforcement Learning and Model Predictive Control: Application to Multi-Class Transportation Networks#662052arXiv (All)
• PromptEcho: Annotation-Free Reward from Vision-Language Models for Text-to-Image Reinforcement Learning#13156arXiv CS
• The Coherence Engine, part deux; Collapsing Bayesian Inference, Free Energy, Gradient Descent, Markov Models, and Reinforcement Learning#89364PhilArchive
• Neural decision dynamics underlying reinforcement learning and working memory#125753Europe PMC
• Fast State Stabilization using Deep Reinforcement Learning for Measurement-based Quantum Feedback Control#128306arXiv (OAI)
• Semi-Markov Reinforcement Learning for City-Scale EV Ride-Hailing with Feasibility-Guaranteed Actions#141520arXiv CS
• ProRank: Prompt Warmup via Reinforcement Learning for Small Language Models Reranking#147101arXiv (OAI)
• Mitigating False Positives in Static Memory Safety Analysis of Rust Programs via Reinforcement Learning#155356arXiv CS
• Queue-Aware and Resilient Routing in LEO Satellite Networks Using Multi-Agent Reinforcement Learning#168256arXiv CS
• AegisTS: A Hierarchical Agent System with Reinforcement Learning for Multivariate Time Series Data Cleaning#168423arXiv CS
• Reward Is Enough: LLMs Are In-Context Reinforcement Learners#173309arXiv (OAI)
• BoostAPR: Boosting Automated Program Repair via Execution-Grounded Reinforcement Learning with Dual Reward Models#175344arXiv CS
• Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things#177252Semantic Scholar
• MARLIN: Multi-Agent Game-Theoretic Reinforcement Learning for Sustainable LLM Inference in Cloud Datacenters#180623arXiv CS
• R3DM: Enabling Role Discovery and Diversity Through Dynamics Models in Multi-agent Reinforcement Learning#183249arXiv (OAI)
• Angel or Demon: Investigating the Plasticity Interventions' Impact on Backdoor Threats in Deep Reinforcement Learning#187246arXiv CS
• Multi-objective application placement in fog computing using graph neural network-based reinforcement learning#187283arXiv CS
• Heterogeneous Tasks Offloading in Vehicular Edge Computing: A Federated Meta Deep Reinforcement Learning Approach#200447arXiv CS
• SAFE AND AGILE UAV NAVIGATION IN CONFINED AND TIGHT SPACES VIA DEEP REINFORCEMENT LEARNING#211397KFUPM ePrints
• Spreadsheet-RL: Advancing Large Language Model Agents on Realistic Spreadsheet Tasks via Reinforcement Learning#216875arXiv CS
• A Reinforcement Learning-driven Transformer GAN for Molecular Generation#248665Springer Nature OA
• Shape Formation for the Cooperative Transportation of Arbitrary Objects Using Multi-Agent Reinforcement Learning#267699arXiv CS
• Dynamic-layer transformer-based reinforcement learning for observation-constrained multi-agent roundup scenarios.#285151NCBI PubMed Central
• Fractional-Order Complex Systems: Advanced Control, Intelligent Estimation and Reinforcement Learning Image-Processing Algorithms#330208HAL (France)
• Beyond the Need for Speed: Energy-Aware Code Generation via Simulation-Guided Reinforcement Learning#343552arXiv CS
• An Explainable Multimodal AI Framework with Reinforcement Learning for Post-Surgical Clinical Decision Support#353182bioRxiv / medRxiv
• Modeling Advanced Persistent Threats Using Stackelberg Game Theory and Reinforcement Learning Under Partial Observability#403990KFUPM ePrints
• WarmTuner: Program-Specific Warm Starts for Compiler Autotuning via Offline-to-Online Reinforcement Learning#411129arXiv CS
• Translation with Thought: Difficulty-Adaptive Reasoning via Reinforcement Learning for Multi-Domain Machine Translation#422302arXiv CS
• LLM-Driven Automated Reward Design for Reinforcement Learning-Based Routing in LEO Satellite Networks#423896arXiv CS
• Chess on Ice: Curling Tactical Decision-Making via Backward Induction and Deep Reinforcement Learning#424020arXiv CS
• An Emerging Retail Portfolio Management Application: Personalized, Tax-Aware Reinforcement Learning with Natural Language Goals#432477arXiv CS
• EvoRIC: Reinforcement Learning Fine-Tuned LLM-empowered RAN Intelligent Control Toward Autonomous O-RAN#440325arXiv CS
• Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning#445787KOASAS: KAIST Open Access Self-Archiving System