reinforcement-learning

Documents about reinforcement-learning

• A novel intelligent hybrid reinforcement learning framework for autonomous decision making in complex health cognitive systems#253710Europe PMC
• Model & Locomotion Dynamics of a Goat Bio-Inspired Quadruped Robot Through Reinforcement Learning#345640Repositorio institucional Séneca
• Enhancing deep reinforcement learning with expert demonstrations for mobile robot navigation in unstructured off-road environments#336325Research Online
• A survey on deep learning and deep reinforcement learning in robotics with a tutorial on deep reinforcement learning.#489642DBLP
• Using Deep Reinforcement Learning to Decide Test Length.#151433NCBI PubMed Central
• EXPO: Stable Reinforcement Learning with Expressive Policies#183274arXiv (OAI)
• OPID: On-Policy Skill Distillation for Agentic Reinforcement Learning#316296Papers With Code
• Reinforcement Learning for Chemical Ordering in Alloy Nanoparticles.#360609NCBI PubMed Central
• d3rlpy: An Offline Deep Reinforcement Learning Library#478114CiNii
• ChainerRL: A Deep Reinforcement Learning Library#478164CiNii
• Agent Lightning: Train ANY AI Agents with Reinforcement Learning#483535Papers With Code
• Le Critique: Privileged Value Functions for LLM Reinforcement Learning#623025arXiv (OAI Expanded)
• Le Critique: Privileged Value Functions for LLM Reinforcement Learning#625298arXiv (All)
• Intelligent Covert ISAC via RIS: A Reinforcement Learning Approach#264731DR-NTU (Digital Repository of NTU)
• Reinforcement Learning-Based Self-Healing Mechanisms for Autonomous Cybersecurity Systems#402300HAL (France)
• TTVS: Boosting Self-Exploring Reinforcement Learning via Test-time Variational Synthesis#2589arXiv CS
• Hierarchical Reinforcement Learning with Runtime Safety Shielding for Power Grid Operation#14015arXiv CS
• Task-specific Subnetwork Discovery in Reinforcement Learning for Autonomous Underwater Navigation#126527arXiv CS
• TSN-Affinity: Similarity-Driven Parameter Reuse for Continual Offline Reinforcement Learning#141470arXiv CS
• Augmented Lagrangian Multiplier Network for State-wise Safety in Reinforcement Learning#151736arXiv CS
• Events as Triggers for Behavioral Diversity in Multi-Agent Reinforcement Learning#178885arXiv CS
• CO-MAP: A Reinforcement Learning Approach to the Qubit Allocation Problem#180681arXiv CS
• Global Convergence of Wasserstein Policy Gradient for Entropy-Regularized Reinforcement Learning#224500arXiv CS
• RL2ML: Finite-Rollout Surrogate Objectives from Reinforcement Learning to Maximum Likelihood#238630arXiv CS
• UBP2: Uncertainty-Balanced Preference Planning for Efficient Preference-based Reinforcement Learning#287111arXiv CS
• Direct Advantage Estimation for Scalable and Sample-efficient Deep Reinforcement Learning#290585arXiv CS
• A Model-Driven Approach for Developing Families of Reinforcement Learning Environments#290597arXiv CS
• Hierarchical Reinforcement Learning for Neural Network Compression (HiReLC): Pruning and Quantization#307009arXiv CS
• Memory-Efficient Policy Libraries with Low-Rank Adaptation in Reinforcement Learning#307039arXiv CS
• State Representation Matters in Deep Reinforcement Learning: Application to Energy Trading#310835arXiv CS
• Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning#361452arXiv CS
• Constraint-Aware Aggregation for Federated Reinforcement Learning in Microgrid Energy Coordination#366259arXiv CS
• WorldCycle: Self-Verifiable Reinforcement Learning for Long-Horizon Video World Models#429369arXiv CS
• SpecRoll: Fast-Slow Verifier-Feedback Adaptation for Speculative Reinforcement Learning Rollouts#429370arXiv CS
• Designing Reinforcement Learning for Diffusion Models: A Unified Path-Space View#458271arXiv CS
• Multi-Agent Off-Policy Deep Reinforcement Learning for Smart Campus Coverage#467125arXiv CS
• NashDreamer: Model-Based Reinforcement Learning for Zero-Sum Imperfect-Information Games#627679arXiv CS
• Expert Behavior Prior Reinforcement Learning#664374arXiv (OAI Expanded)
• Expert Behavior Prior Reinforcement Learning#665874arXiv (All)
• Optimal Control of Unknown Nonlinear Systems via a Multimodel-Based Multistep Reinforcement Learning Framework#173975Digital Commons @ Michigan Tech
• Reinforcement Learning-Based Joint Reliability and Performance Optimization for Hybrid-Cache Computing Servers#448962Infoscience
• Plasticity Loss in Deep Reinforcement Learning: A Survey#153007arXiv (OAI)
• GoLongRL: Capability-Oriented Long Context Reinforcement Learning with Multitask Alignment#209746Papers With Code
• Learning Coordinated Preference for Multi-Objective Multi-Agent Reinforcement Learning#271868arXiv CS
• FlowAWR: Online Adaptive Flow Reinforcement via Advantage-Weighted Rectification#321856arXiv CS
• SEED: Self-Evolving On-Policy Distillation for Agentic Reinforcement Learning#379037Papers With Code
• Toward Efficient Program Synthesis for Intelligent Systems#397000RUcore, Rutgers University Community Repository
• A Modular Approach to Multi-agent Reinforcement Learning#478175CiNii
• A Modular Approach to Multi-agent Reinforcement Learning#478176CiNii
• A Modular Approach to Multi-agent reinforcement Learning#478182CiNii