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Planning or Learning: Reliability and Cost in Multi-Asset Maintenance

BACKGROUND
1 SIGNALFIRST DETECTED 15 September 2026
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20 Mar
Single Agent Robust Deep Reinforcement Learning for Bus Fleet Control

arXiv:2508.20784v2 Announce Type: replace Abstract: Bus bunching remains a challenge for urban transit due to stochastic traffic and passenger demand. Traditional solutions rely

REPORT · WHAT · ArXiv CS.AIOPEN STORY
16 Oct
Planning Commitment of LLM under Partial Observability

arXiv:2610.21108v1 Announce Type: new Abstract: LLM-based planning agents commit to plans of different lengths before interacting with a partially observable environment. Some

REPORT · WHAT · ArXiv CS.AIOPEN STORY
23 May
Planning in the LLM Era: Building for Reliability and Efficiency

arXiv:2605.21902v1 Announce Type: new Abstract: Growing attention to intelligent agents has put a spotlight on one of their central capabilities: planning. Early attempts to

REPORT · WHAT · ArXiv CS.AIOPEN STORY
11 May
CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment

arXiv:2605.06702v1 Announce Type: new Abstract: Large language models (LLMs) have become a central foundation of modern artificial intelligence, yet their lifecycle remains

REPORT · WHAT · ArXiv CS.AIOPEN STORY
21 Jul
When to Plan: Learning to Select Between Reactive Control and Deliberative Planning

arXiv:2607.16421v1 Announce Type: new Abstract: It has long been recognized that humans have the ability to switch between fast, reactive decision-making and slower, deliberative

REPORT · WHEN · ArXiv CS.AIOPEN STORY
27 Apr
Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond

arXiv:2604.22748v1 Announce Type: new Abstract: As AI systems move from generating text to accomplishing goals through sustained interaction, the ability to model environment

REPORT · WHAT · ArXiv CS.AIOPEN STORY
9 Jul
Deep Reinforcement Learning for Reliability Based Bi-Objective Portfolio Optimization

arXiv:2607.06610v1 Announce Type: cross Abstract: Portfolio optimization under uncertainty is inherently a multi-objective decision problem involving complex interactions among

REPORT · WHAT · ArXiv CS.AIOPEN STORY
1 Apr
Beyond pass@1: A Reliability Science Framework for Long-Horizon LLM Agents

arXiv:2603.29231v1 Announce Type: new Abstract: Existing benchmarks measure capability -- whether a model succeeds on a single attempt -- but production deployments require

REPORT · WHAT · ArXiv CS.AIOPEN STORY
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