Equal-Budget Monte Carlo Tree Search versus Randomized-Restart List Scheduling for DAG Workflows: A Controlled Equal-Budget Computational Study
arXiv:2610.12542v1 Announce Type: new Abstract: Monte Carlo Tree Search (MCTS) is often proposed for scheduling directed-acyclic-graph (DAG) workflows, yet most studies never run the comparison that could refute it - giving a much simpler method the same search effort. We run…
- 01.arXiv:2610.12542v1 Announce Type: new Abstract: Monte Carlo Tree Search (MCTS) is often proposed for scheduling directed-acyclic-graph (DAG) workflows, yet most studies never run the comparison that could refute it - giving a much simpler method the same search effort. We run…
This material is provided as an extended analytical summary.
Read full article at sourceRelated Intelligence
All stories →GPT-6.1 Terra halves OpenAI's API prices and still gains ground on its larger models
OpenAI has released GPT-6.1 Terra, a mid-range model that cuts API prices in half compared to its predecessor. Analysts say it sets a new standard for intelligence per dollar, especially for everyday computing tasks and AI-driven computer control. The article GPT-6.1 Terra…
How Sullivan & Cromwell builds legal tools with Codex | OpenAI
At Sullivan & Cromwell LLP, John Savva uses Codex to build tools around the firm’s legal expertise. Agreement Analyzer brings together a draft agreement, selected precedents, and playbooks reflecting the firm’s and client’s positions. It identifies potential issues and returns a…
Hebbia on Astra: Better research, better presentations | OpenAI
“We see Astra actually show over double digit gains over any other model we've tested on two fronts.” Hebbia’s Kavita Anand names the two: selecting the right sources and generating PowerPoint presentations. For a banker or investor working through a data room with thousands of…