reinforcement-learning

Documents about reinforcement-learning

• Policy Split: Incentivizing Dual-Mode Exploration in LLM Reinforcement with Dual-Mode Entropy Regularization#10362arXiv CS
• Quantum Chemistry-Driven Molecular Inverse Design of Stable Isomers with Data-Free Reinforcement Learning.#25642NCBI PubMed Central
• EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization#160833arXiv (OAI)
• SSR-Zero: Simple Self-Rewarding Reinforcement Learning for Machine Translation#173298arXiv (OAI)
• ParaVT: Taming the Tool Prior Paradox for Parallel Tool Use in Agentic Video Reinforcement Learning#228183Papers With Code
• Investigating clinical practice variations in coronary artery disease treatment using reinforcement and transfer learning.#395968NCBI PubMed Central
• Deep Reinforcement Learning for Real-World Humanoid Robot Locomotion Control with Automatic Reward Learning.#399777NCBI PubMed Central
• LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework#445796KOASAS: KAIST Open Access Self-Archiving System
• Temporal Logic Guided Universal Task Representations for Reinforcement Learning#616171arXiv (OAI Expanded)
• Temporal Logic Guided Universal Task Representations for Reinforcement Learning#616671arXiv (All)
• Solving Large MDPs Quickly with Partitioned Value Iteration#640247BYU ScholarsArchive
• Efficient Inference for Inverse Reinforcement Learning and Dynamic Discrete Choice Models#650711arXiv (OAI Expanded)
• Learning, Abstraction, and Creative Search for Interactive Agents#651023BYU ScholarsArchive
• Efficient Inference for Inverse Reinforcement Learning and Dynamic Discrete Choice Models#652164arXiv (All)
• Reinforcement Learning for Continuous-Time Jump Markov Decision Processes with Applications to Network Dynamic Pricing#657104arXiv (OAI Expanded)
• Reinforcement Learning for Continuous-Time Jump Markov Decision Processes with Applications to Network Dynamic Pricing#659240arXiv (All)
• On the Role of DAG topology in Energy-Aware Cloud Scheduling : A GNN-Based Deep Reinforcement Learning Approach#5986arXiv CS
• Sharing the Control Authority Between Deep Reinforcement Learning and Model Predictive Control: Application to Multi-Class Transportation Networks#480077arXiv CS
• On the understandability of machine learning practices in deep learning and reinforcement learning based systems.#489494DBLP
• On-policy and off-policy learning for large action spaces#630373HAL (France)
• From theory to practice: A collective voting-based multi-agent deep reinforcement learning framework for real-world HVAC control#664958Figshare
• Domain-adapted language model using reinforcement learning for various dementias#67978bioRxiv / medRxiv
• The Archimedean trap: Why traditional reinforcement learning will probably not yield AGI#115946PhilArchive
• Preserve Support, Not Correspondence: Dynamic Routing for Offline Reinforcement Learning#134607arXiv CS
• Advancing Multi-Agent RAG Systems with Minimalist Reinforcement Learning#141743arXiv (OAI)
• Deliberative Searcher: Improving LLM Reliability via Reinforcement Learning with constraints#149319arXiv (OAI)
• Improving LLM Code Generation via Requirement-Aware Curriculum Reinforcement Learning#151792arXiv CS
• AEM: Adaptive Entropy Modulation for Multi-Turn Agentic Reinforcement Learning#151793arXiv CS
• Curriculum-RLAIF: Curriculum Alignment with Reinforcement Learning from AI Feedback#153070arXiv (OAI)
• Liver transplant donor-recipient matching with offline reinforcement learning.#154406NCBI PubMed Central
• Federated Reinforcement Learning for Efficient Mobile Crowdsensing under Incomplete Information#155194arXiv CS
• Realistic Curriculum Reinforcement Learning for Autonomous and Sustainable Marine Vessel Navigation#177654Digital Commons @ Michigan Tech
• Domain-Adaptable Reinforcement Learning for Code Generation with Dense Rewards#216908arXiv CS
• StepOPSD: Step-Aware Online Preference Distillation for Agent Reinforcement Learning#229550arXiv CS
• About time: model-free reinforcement learning with timed reward machines#244550Ora Oxford University Research
• The heritability of reinforcement learning parameters and their association with anxiety#314130bioRxiv / medRxiv
• Z-1: Efficient Reinforcement Learning for Vision-Language-Action Models#324933arXiv CS
• Next-Generation Agentic Reinforcement Learning Systems Enable Self-Evolving Agents#329051arXiv CS
• ADORN: Adaptive Drift handling for Open RAN using Reinforcement Learning#353021arXiv CS
• Graph Is the Verifier: Agentic Reinforcement Learning for Interprocedural Vulnerability Detection#410941arXiv CS
• Autonomous Reinforcement Learning Astrobee Control With Low SWaP Neuromorphic Hardware#442304DigitalCommons@USU
• 2d Locomotion Control of a Flywheel Based Robot Fish Using Reinforcement Learning#442721KFUPM ePrints
• Closed-Loop Control of Direct Ink Writing via Reinforcement Learning#442759MIT Open Scholarship
• Communication in Multi-Agent Reinforcement Learning: Intention Sharing#445788KOASAS: KAIST Open Access Self-Archiving System
• Deep Reinforcement Learning for 6G AI-RAN: A Comprehensive Survey#459606arXiv CS
• NE-R1: Enhancing Named Entity Recognition Model via Reinforcement Learning#632891arXiv CS
• Illuminating the Three Dogmas of Reinforcement Learning under Evolutionary Light#668294arXiv (OAI Expanded)
• Illuminating the Three Dogmas of Reinforcement Learning under Evolutionary Light#670359arXiv (All)
• Reinforcement Learning In Dynamic Environments: Optimizing Real-Time Decision Making For Complex Systems#706922PhilArchive
• Reinforcement learning-based control co-design of digital twin-enabled full-vehicle active suspension systems.#4361NCBI PubMed Central