Gaussian Process Aggregation for Root-Parallel Monte Carlo Tree Search with Continuous Actions

arXiv cs.AI · 6 hours ago

Researchers proposed using Gaussian Process Regression to aggregate statistics from parallel Monte Carlo Tree Search threads in continuous action environments. The method was evaluated across 6 domains and outperformed existing aggregation strategies with a modest increase in inference time. This approach enables better value estimation for untested actions during parallel planning.