14 citations · 21 across the 8 of their papers we have counts for
9 papers
HTN Planning as a Coordination Layer for Multi-Server MCP Tool Orchestration
Eliott Jacopin, Éric Jacopin, Koichi Takahashi
The Model Context Protocol (MCP) isolates servers by design: only the host can orchestrate cross-server workflows. When the host is a large language model, the resulting orchestrat…
Co-Located Tests, Better AI Code: How Test Syntax Structure Affects Foundation Model Code Generation
Éric Jacopin
AI coding assistants increasingly generate code alongside tests. How developers structure test code, whether inline with the implementation or in separate blocks, has traditionally…
What Is the Minimum Architecture for Prolepsis? Early Irrevocable Commitment Across Tasks in Small Transformers
Éric Jacopin
When do transformers commit to a decision, and what prevents them from correcting it? We introduce prolepsis: a transformer commits early, task-specific attention heads sustain the…
Planning and Learning: Path-Planning for Autonomous Vehicles, a Review of the Literature
Kevin Osanlou, Christophe Guettier, Tristan Cazenave +1
This short review aims to make the reader familiar with state-of-the-art works relating to planning, scheduling and learning. First, we study state-of-the-art planning algorithms.…
Solving Disjunctive Temporal Networks with Uncertainty under Restricted Time-Based Controllability using Tree Search and Graph Neural Networks
Kevin Osanlou, Jeremy Frank, Andrei Bursuc +4
Planning under uncertainty is an area of interest in artificial intelligence. We present a novel approach based on tree search and graph machine learning for the scheduling problem…
Learning-based Preference Prediction for Constrained Multi-Criteria Path-Planning
Kevin Osanlou, Christophe Guettier, Andrei Bursuc +2
Learning-based methods are increasingly popular for search algorithms in single-criterion optimization problems. In contrast, for multiple-criteria optimization there are significa…
Time-based Dynamic Controllability of Disjunctive Temporal Networks with Uncertainty: A Tree Search Approach with Graph Neural Network Guidance
Kevin Osanlou, Jeremy Frank, J. Benton +4
Scheduling in the presence of uncertainty is an area of interest in artificial intelligence due to the large number of applications. We study the problem of dynamic controllability…
Constrained Shortest Path Search with Graph Convolutional Neural Networks
Kevin Osanlou, Christophe Guettier, Andrei Bursuc +2
Planning for Autonomous Unmanned Ground Vehicles (AUGV) is still a challenge, especially in difficult, off-road, critical situations. Automatic planning can be used to reach missio…
Optimal Solving of Constrained Path-Planning Problems with Graph Convolutional Networks and Optimized Tree Search
Kevin Osanlou, Andrei Bursuc, Christophe Guettier +2
Deep learning-based methods are growing prominence for planning purposes. In this paper, we present a hybrid planner that combines a graph machine learning model and an optimal sol…