#Algorithm Optimization

Articles (5)

• 🇺🇸 ToolTree: Efficient LLM Agent Tool Planning via Dual-Feedback Monte Carlo Tree Search and Bidirectional Pruning — 16/03/2026 [USA]

  arXiv:2603.12740v1 Announce Type: new Abstract: Large Language Model (LLM) agents are increasingly applied to complex, multi-step tasks that require interaction with diverse external tools across var...

  Related: #AI Planning
• 🇺🇸 CodeEvolve: an open source evolutionary coding agent for algorithmic discovery and optimization — 13/03/2026 [USA]

  arXiv:2510.14150v4 Announce Type: replace Abstract: We introduce CodeEvolve, an open-source framework that combines large language models (LLMs) with evolutionary search to synthesize high-performing...

  Related: #AI Development
• 🇺🇸 A Lightweight Traffic Map for Efficient Anytime LaCAM* — 10/03/2026 [USA]

  arXiv:2603.07891v1 Announce Type: new Abstract: Multi-Agent Path Finding (MAPF) aims to compute collision-free paths for multiple agents and has a wide range of practical applications. LaCAM*, an any...

  Related: #Multi-agent Systems
• 🇺🇸 Generalized Rapid Action Value Estimation in Memory-Constrained Environments — 27/02/2026 [USA]

  arXiv:2602.23318v1 Announce Type: new Abstract: Generalized Rapid Action Value Estimation (GRAVE) has been shown to be a strong variant within the Monte-Carlo Tree Search (MCTS) family of algorithms ...

  Related: #Artificial Intelligence, #Memory Efficiency
• 🇺🇸 IMOVNO+: A Regional Partitioning and Meta-Heuristic Ensemble Framework for Imbalanced Multi-Class Learning — 25/02/2026 [USA]

  arXiv:2602.20199v1 Announce Type: cross Abstract: Class imbalance, overlap, and noise degrade data quality, reduce model reliability, and limit generalization. Although widely studied in binary class...

  Related: #Machine Learning, #Data Quality