·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Ollie is betting its focus on privacy can help it win the AI assistant race2h◆Nvidia launches free tool that links idle computers into a personal AI data center2h◆Google now lets you chat with Gmail, Docs, and Keep2h◆ChatGPT, Grok, and Claude all went down at the same time3h◆Google’s latest AI weather model gives you no excuse to forget your umbrella3h◆Google says its AI weather model is getting better3h◆NeoMME: an efficient Multimodal-native and Multilingual Encoder5h◆Nvidia confirms it will buy Hugging Face for $12.9 billion5h◆Nvidia is buying Hugging Face for almost $13 billion6h◆Meta-ethics and AI: exploring the novel meta-ethical questions in the era of AI14h◆SSAKG 2.0: An Open-Source Package for Structural Associative Sequence Memory and Context-Based Retrieval14h◆Epistemic Sybil Resistance: Multiplying AI Agents Without Multiplying Evidence14h◆DocHop: Benchmarking Out-of-domain Multi-hop Reasoning in Information-Dense Documents14h◆MASkills: Continual Skills Optimization for Multi-Agent LLM Systems14h◆Train at Moving Edge: Online-Verified Prompt Selection for Efficient RL Training of Large Reasoning Model14h◆SpecMine: A Large-Scale Corpus of Spec-Driven Development Artifacts14h◆Elite political incivility is rising across democracies14h◆Learning Query-Specific Rubrics from Human Preferences for DeepResearch Report Generation14h◆Sim2Signal: Sim-to-Real Benchmarks for Traffic Signal Control14h◆Recursive Value Learning for Long-Horizon Offline Goal-Conditioned RL14h◆Ollie is betting its focus on privacy can help it win the AI assistant race2h◆Nvidia launches free tool that links idle computers into a personal AI data center2h◆Google now lets you chat with Gmail, Docs, and Keep2h◆ChatGPT, Grok, and Claude all went down at the same time3h◆Google’s latest AI weather model gives you no excuse to forget your umbrella3h◆Google says its AI weather model is getting better3h◆NeoMME: an efficient Multimodal-native and Multilingual Encoder5h◆Nvidia confirms it will buy Hugging Face for $12.9 billion5h◆Nvidia is buying Hugging Face for almost $13 billion6h◆Meta-ethics and AI: exploring the novel meta-ethical questions in the era of AI14h◆SSAKG 2.0: An Open-Source Package for Structural Associative Sequence Memory and Context-Based Retrieval14h◆Epistemic Sybil Resistance: Multiplying AI Agents Without Multiplying Evidence14h◆DocHop: Benchmarking Out-of-domain Multi-hop Reasoning in Information-Dense Documents14h◆MASkills: Continual Skills Optimization for Multi-Agent LLM Systems14h◆Train at Moving Edge: Online-Verified Prompt Selection for Efficient RL Training of Large Reasoning Model14h◆SpecMine: A Large-Scale Corpus of Spec-Driven Development Artifacts14h◆Elite political incivility is rising across democracies14h◆Learning Query-Specific Rubrics from Human Preferences for DeepResearch Report Generation14h◆Sim2Signal: Sim-to-Real Benchmarks for Traffic Signal Control14h◆Recursive Value Learning for Long-Horizon Offline Goal-Conditioned RL14h◆
News/OR-Transformer: Scaling Real-Time Decision-Making to 1,000 Items
arxiv
PublishedSeptember 3, 2026 at 4:00 AM
—neutral

OR-Transformer: Scaling Real-Time Decision-Making to 1,000 Items

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

arXiv:2609.01933v1 Announce Type: new Abstract: Modern supply chain operations can require coordinating replenishment across thousands of heterogeneous items under correlated stochastic demand, heterogeneous lead times, and shared fixed ordering costs, yielding observation spaces exceeding $10^4$ di

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
arxivMeta-ethics and AI: exploring the novel meta-ethical questions in the era of AI14harxivSSAKG 2.0: An Open-Source Package for Structural Associative Sequence Memory and Context-Based Retrieval14harxivEpistemic Sybil Resistance: Multiplying AI Agents Without Multiplying Evidence14harxivDocHop: Benchmarking Out-of-domain Multi-hop Reasoning in Information-Dense Documents14h
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