3 papers
cs.AI2025
Landmark-Assisted Monte Carlo Planning
David H. Chan, Mark Roberts, Dana S. Nau
Landmarks$\unicode{x2013}$conditions that must be satisfied at some point in every solution plan$\unicode{x2013}$have contributed to major advancements in classical planning, but t…
cs.AI2025
Automating Curriculum Learning for Reinforcement Learning using a Skill-Based Bayesian Network
Vincent Hsiao, Mark Roberts, Laura M. Hiatt +2
A major challenge for reinforcement learning is automatically generating curricula to reduce training time or improve performance in some target task. We introduce SEBNs (Skill-Env…
cs.AI2024
Automatically Learning HTN Methods from Landmarks
Ruoxi Li, Dana Nau, Mark Roberts +1
Hierarchical Task Network (HTN) planning usually requires a domain engineer to provide manual input about how to decompose a planning problem. Even HTN-MAKER, a well-known method-l…