·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Vision Hopfield Memory Networks8h◆Stable Deep Reinforcement Learning via Isotropic Gaussian Representations8h◆Insurance of Agentic AI8h◆Output Type Before Quality: A Standards-Derived XAI Admissibility Rubric for Autonomous-Driving Safety8h◆Bidirectional Search for Longest Paths: Case for Front-to-Front Heuristics8h◆CogManip: Benchmarking Manipulative Behavior in Multi-Turn Interactions with Large Language Model8h◆Agent Memory: Characterization and System Implications of Stateful Long-Horizon Workloads8h◆Beyond Semantic Organization: Memory as Execution State Management for Long-Horizon Agents8h◆Reward-Decomposed Reinforcement Learning for Immersive Video Role-Playing8h◆Severity-Aware Curriculum Learning with Multi-Model Response Selection for Medical Text Generation8h◆Safety Paradox: How Enhanced Safety Awareness Leaves LLMs Vulnerable to Posterior Attack8h◆FIDES: Faithful Inference via Deep Evidence Signals for Retrieval-Memory Conflict in RAG8h◆PerceptUI: LLM Agents as Human-Aligned Synthetic Users for UI/UX Evaluation8h◆Seeing Time: Benchmarking Chronological Reasoning and Shortcut Biases in Vision-Language Models8h◆TAPO: Tool-Aware Policy Optimization via Credit Transfer for Multimodal Search Agents8h◆When Tools Fail: Benchmarking Dynamic Replanning and Anomaly Recovery in LLM Agents8h◆Towards Healthy Evolution: Exploring the Role and Mechanisms of Human-Agent Interaction in Self-Evolving Systems8h◆WorldFly: A World-Model-Based Vision-Language-Action Model for UAV Navigation8h◆Amortizing Federated Adaptation: Hypernetwork Driven LoRA for Personalized Foundation Models8h◆MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery8h◆Vision Hopfield Memory Networks8h◆Stable Deep Reinforcement Learning via Isotropic Gaussian Representations8h◆Insurance of Agentic AI8h◆Output Type Before Quality: A Standards-Derived XAI Admissibility Rubric for Autonomous-Driving Safety8h◆Bidirectional Search for Longest Paths: Case for Front-to-Front Heuristics8h◆CogManip: Benchmarking Manipulative Behavior in Multi-Turn Interactions with Large Language Model8h◆Agent Memory: Characterization and System Implications of Stateful Long-Horizon Workloads8h◆Beyond Semantic Organization: Memory as Execution State Management for Long-Horizon Agents8h◆Reward-Decomposed Reinforcement Learning for Immersive Video Role-Playing8h◆Severity-Aware Curriculum Learning with Multi-Model Response Selection for Medical Text Generation8h◆Safety Paradox: How Enhanced Safety Awareness Leaves LLMs Vulnerable to Posterior Attack8h◆FIDES: Faithful Inference via Deep Evidence Signals for Retrieval-Memory Conflict in RAG8h◆PerceptUI: LLM Agents as Human-Aligned Synthetic Users for UI/UX Evaluation8h◆Seeing Time: Benchmarking Chronological Reasoning and Shortcut Biases in Vision-Language Models8h◆TAPO: Tool-Aware Policy Optimization via Credit Transfer for Multimodal Search Agents8h◆When Tools Fail: Benchmarking Dynamic Replanning and Anomaly Recovery in LLM Agents8h◆Towards Healthy Evolution: Exploring the Role and Mechanisms of Human-Agent Interaction in Self-Evolving Systems8h◆WorldFly: A World-Model-Based Vision-Language-Action Model for UAV Navigation8h◆Amortizing Federated Adaptation: Hypernetwork Driven LoRA for Personalized Foundation Models8h◆MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery8h◆
News/Learning to replenish: A hybrid deep reinforcement learning for dynamic inventory management in the pharmaceutical supply chains
arxiv
PublishedJune 6, 2026 at 4:00 AM
—neutral

Learning to replenish: A hybrid deep reinforcement learning for dynamic inventory management in the pharmaceutical supply chains

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2606.06201v1 Announce Type: new Abstract: Pharmaceutical supply chains (PSCs) struggle with inventory management (IM) due to unpredictable demand patterns and variable lead times associated with restocking. This complexity is further compounded by the finite shelf lives of pharmaceutical produ

Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

// no spam · unsubscribe one-click · free forever

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →

Related coverage

More from ARXIV
arxivVision Hopfield Memory Networks8harxivStable Deep Reinforcement Learning via Isotropic Gaussian Representations8harxivInsurance of Agentic AI8harxivOutput Type Before Quality: A Standards-Derived XAI Admissibility Rubric for Autonomous-Driving Safety8h
The Bubble Brief
WEEKLY

Read AI insights every Tuesday — top movers, new releases, story of the week.

// no spam · unsubscribe one-click · free forever

Originally published on arxiv ↗
HomeModelsNews