Cover Image

Algorithm Selection for Optimal Multi-Agent Path Finding via Graph Embedding

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shabalin, Carmel, Kaduri, Omri, Stern, Roni
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence 68T20 I.2.8
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Savile Row Manual
by: Nightingale, Peter
Published: (2021)

Unveiling Interesting Insights: Monte Carlo Tree Search for Knowledge Discovery
by: Totis, Pietro, et al.
Published: (2025)

Cooperative Patrol Routing: Optimizing Urban Crime Surveillance through Multi-Agent Reinforcement Learning
by: Palma-Borda, Juan, et al.
Published: (2025)

Scalable Heterogeneous Graph Foundation Models for Data-Driven Optimal Power Flow in Smart Grids
by: Pasini, Massimiliano Lupo, et al.
Published: (2026)

AI Agents: Evolution, Architecture, and Real-World Applications
by: Krishnan, Naveen
Published: (2025)

Privacy Preserving Multi Agent Path Finding
by: Lehman, Rotem Lev, et al.
Published: (2026)

Evolving A* to Efficiently Solve the k Shortest-Path Problem (Extended Version)
by: López, Carlos Linares, et al.
Published: (2024)

Space Adaptive Search for Nonholonomic Mobile Robots Path Planning
by: Wang, Qi
Published: (2024)

STRIDE: A Self-Reflective Agent Framework for Reliable Automatic Equation Discovery
by: Su, Jiarui, et al.
Published: (2026)

Efficient Contextual Preferential Bayesian Optimization with Historical Examples
by: Khan, Farha A., et al.
Published: (2022)

Two-phase Optimization of Binary Sequences with Low Peak Sidelobe Level Value
by: Bošković, Borko, et al.
Published: (2021)

The Traveling Thief Problem with Time Windows: Benchmarks and Heuristics
by: Angmalisang, Helen Yuliana, et al.
Published: (2026)

Enhancing Multi-Agent Collaboration with Attention-Based Actor-Critic Policies
by: Belinchon, Hugo Garrido-Lestache, et al.
Published: (2025)

Proving Olympiad Algebraic Inequalities without Human Demonstrations
by: Wei, Chenrui, et al.
Published: (2024)

InterEvo-TR: Interactive Evolutionary Test Generation With Readability Assessment
by: Delgado-Pérez, Pedro, et al.
Published: (2024)

Is there a half-life for the success rates of AI agents?
by: Ord, Toby
Published: (2025)

Adaptive Minds: Empowering Agents with LoRA-as-Tools
by: Shekar, Pavan C, et al.
Published: (2025)

From Imitation to Interaction: Mastering Game of Schnapsen with Shallow Reinforcement Learning
by: Klačan, Ján, et al.
Published: (2026)

Task and Motion Planning in Hierarchical 3D Scene Graphs
by: Ray, Aaron, et al.
Published: (2024)

Improving LLM Agent Planning with In-Context Learning via Atomic Fact Augmentation and Lookahead Search
by: Holt, Samuel, et al.
Published: (2025)

KGMark: A Diffusion Watermark for Knowledge Graphs
by: Peng, Hongrui, et al.
Published: (2025)

TRIZ Agents: A Multi-Agent LLM Approach for TRIZ-Based Innovation
by: Szczepanik, Kamil, et al.
Published: (2025)

EduQate: Generating Adaptive Curricula through RMABs in Education Settings
by: Tio, Sidney, et al.
Published: (2024)

Diffusion-MPC in Discrete Domains: Feasibility Constraints, Horizon Effects, and Critic Alignment: Case study with Tetris
by: Wang, Haochuan Kevin
Published: (2026)

A Biased Random Key Genetic Algorithm for Solving the Longest Run Subsequence Problem
by: Blum, Christian, et al.
Published: (2025)

JCLEC-MO: a Java suite for solving many-objective optimization engineering problems
by: Ramírez, Aurora, et al.
Published: (2024)

Necessary and Sufficient Conditions for Optimal Decision Trees using Dynamic Programming
by: van der Linden, Jacobus G. M., et al.
Published: (2023)

Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayes Theory
by: Zhang, Zhi, et al.
Published: (2024)

Dual-Splitting Conformal Prediction for Multi-Step Time Series Forecasting
by: Yu, Qingdi, et al.
Published: (2025)

Agentic, Context-Aware Risk Intelligence in the Internet of Value
by: Magableh, Basel, et al.
Published: (2026)

PLUGH: A Benchmark for Spatial Understanding and Reasoning in Large Language Models
by: Tikhonov, Alexey
Published: (2024)

Designing Multi-Step Action Models for Enterprise AI Adoption
by: Mishra, Shreyash, et al.
Published: (2024)

Murphys Laws of AI Alignment: Why the Gap Always Wins
by: Gaikwad, Madhava
Published: (2025)

STACHE: Local Black-Box Explanations for Reinforcement Learning Policies
by: Elashkin, Andrew, et al.
Published: (2025)

SMOSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks
by: Vincze, Mátyás, et al.
Published: (2024)

Learning Affordances at Inference-Time for Vision-Language-Action Models
by: Shah, Ameesh, et al.
Published: (2025)

A Balanced Approach of Rapid Genetic Exploration and Surrogate Exploitation for Hyperparameter Optimization
by: Kim, Chul, et al.
Published: (2025)

Overcoming Over-Fitting in Constraint Acquisition via Query-Driven Interactive Refinement
by: Balafas, Vasileios, et al.
Published: (2025)

CAPE: Corrective Actions from Precondition Errors using Large Language Models
by: Raman, Shreyas Sundara, et al.
Published: (2022)

Maximizing Rollout Informativeness under a Fixed Budget: A Submodular View of Tree Search for Tool-Use Agentic Reinforcement Learning
by: Hu, Yuelin, et al.
Published: (2026)