3 papers
cs.LG2026
PMCTS: Particle Monte Carlo Tree Search for Principled Parallelized Inference Time Scaling
Yaniv Oren, Viliam Vadocz, Joery A. de Vries +3
Monte Carlo Tree Search (MCTS) is a widely used approach for policy improvement through search with increasing popularity for real world applications. Due to the sequential and det…
cs.AI2025
Combining LLMs with Logic-Based Framework to Explain MCTS
Ziyan An, Xia Wang, Hendrik Baier +6
In response to the lack of trust in Artificial Intelligence (AI) for sequential planning, we design a Computational Tree Logic-guided large language model (LLM)-based natural langu…
cs.AI2024
Enabling MCTS Explainability for Sequential Planning Through Computation Tree Logic
Ziyan An, Hendrik Baier, Abhishek Dubey +2
Monte Carlo tree search (MCTS) is one of the most capable online search algorithms for sequential planning tasks, with significant applications in areas such as resource allocation…