reinforcement-learning

Documents about reinforcement-learning

• A Modular Approach to Multi-Agent Reinforcement Learning#478191CiNii
• A Modular Approach to Multi-Agent Reinforcement Learning#478201CiNii
• A Modular Approach to Multi-agent Reinforcement Learning#478202CiNii
• A modular approach to multi-agent reinforcement learning#478206CiNii
• A modular approach to multi-agent reinforcement learning#478226CiNii
• A modular approach to multi-agent reinforcement learning#478228CiNii
• A Modular Approach to Multi-agent Reinforcement Learning#478229CiNii
• Explaining Reinforcement Learning Decisions in Self-adaptive Systems#609058arXiv (OAI Expanded)
• Enhance the Safety in Reinforcement Learning by ADRC Lagrangian Methods#633383arXiv (OAI Expanded)
• Enhance the Safety in Reinforcement Learning by ADRC Lagrangian Methods#635732arXiv (All)
• Enhanced Machine Learning Algorithms: Deep Learning, Reinforcement learning and Q-learning.#489456DBLP
• Bridging the Gap Between Self-Report and Behavioral Laboratory Measures: A Real-Time Driving Task With Inverse Reinforcement Learning#447008S-Space: Seoul National University
• SUPERNOVA: Eliciting General Reasoning in LLMs with Reinforcement Learning on Natural Instructions#2586arXiv CS
• RL-STPA: Adapting System-Theoretic Hazard Analysis for Safety-Critical Reinforcement Learning#19007arXiv CS
• Occupancy Reward Shaping: Improving Credit Assignment for Offline Goal-Conditioned Reinforcement Learning#124062arXiv CS
• Multi-Objective and Mixed-Reward Reinforcement Learning via Reward-Decorrelated Policy Optimization#180679arXiv CS
• Boosting Reinforcement Learning with Verifiable Rewards via Randomly Selected Few-Shot Guidance#187323arXiv CS
• BAPR: Bayesian amnesic piecewise-robust reinforcement learning for non-stationary continuous control#196445arXiv CS
• AMARIS: A Memory-Augmented Rubric Improvement System for Rubric-Based Reinforcement Learning#200504arXiv CS
• ASALT: Adaptive State Alignment for Lateral Transfer in Multi-agent Reinforcement Learning#303202arXiv CS
• Holistic Data Scheduler for LLM Pre-training via Multi-Objective Reinforcement Learning#303228arXiv CS
• Graph-Native Reinforcement Learning Enables Traceable Scientific Hypothesis Generation through Conceptual Recombination#329107arXiv CS
• One More Time: Revisiting Neural Quantum States from a Reinforcement Learning Perspective#332531arXiv CS
• Environment Parameter Gradient Theorem for Policy-Environment Co-Design in Reinforcement Learning#366272arXiv CS
• Physics-enhanced reinforcement learning for real-time optimal control of dynamical systems#381723arXiv CS
• Beyond Isolation: Unlocking Reinforcement Learning Component Synergy for Sample-Efficient Continuous Control#440396arXiv CS
• Iterative Grasp Pose Refinement: A Deep Reinforcement Learning Approach for 2D Vision#463245arXiv CS
• Deep Reinforcement Learning: From Q-Learning to Deep Q-Learning.#489669DBLP
• PlayTrain: An Efficient Reinforcement Learning Framework for LLM-Generated Adaptable JavaScript Games#668031arXiv CS
• Exploration and change detection in model-based reinforcement learning : Adapting to uncertain and volatile environments#284175HAL (France)
• Multi-agent reinforcement learning for dynamic wind farm control#652778HAL (France)
• Algorithms for Discovering Collections of High-Quality and Diverse Solutions, With Applications to Bayesian Non-Negative Matrix Factorization and Reinforcement Learning#643439Harvard DASH
• Algorithms for Discovering Collections of High-Quality and Diverse Solutions, With Applications to Bayesian Non-Negative Matrix Factorization and Reinforcement Learning#643491Harvard DASH
• Can model-free reinforcement learning explain deontological moral judgments?#83583PhilArchive
• Modular Reinforcement Learning For Cooperative Swarms#158572arXiv CS
• Reinforcement Learning with Robust Rubric Rewards#238656arXiv CS
• Viability‑Constrained Reinforcement Learning via Homeostatic State Augmentation#243103PhilArchive
• Reinforcement Learning for Sustainable Last-Mile Delivery with Parcel Lockers#250666KFUPM ePrints
• Knowledge Reutilization in Meta-Reinforcement Learning#282831arXiv CS
• Tandem Reinforcement Learning with Verifiable Rewards#319706arXiv CS
• Multimodal Reward Hacking in Reinforcement Learning#361499arXiv CS
• The Rise of Verbal Reinforcement Learning#627719arXiv CS
• Reinforcement learning: A brief guide for philosophers of mind#738391PhilArchive
• MPFlow: Learning Budgeted Max-Flow Optimization on the Lightning Network with Deep Graph Reinforcement Learning#353046arXiv CS
• Learning for a Robot: Deep Reinforcement Learning, Imitation Learning, Transfer Learning.#489658DBLP
• One Policy Is Enough: Single-Agent Reinforcement Learning Outperforms Tree Search for Chemistry Tool Learning#622531arXiv CS
• Knowledge-Infused Legal Wisdom: Navigating LLM Consultation through the Lens of Diagnostics and Positive-Unlabeled Reinforcement Learning#285508OpenAlex
• Design and Parametric Study of a MEMS-based Reservoir Computer for Reinforcement Learning#311360DigitalCommons@CalPoly
• Deep Reinforcement Learning for Inventory Management Under High Uncertainty#411499DigitalCommons@CalPoly
• A systematic study of offline reinforcement learning : methodological evolution and algorithmic design#684980HAL (France)