4 citations · 4 across the 3 of their papers we have counts for
3 papers
Reward Shaping and Action Masking for Compositional Tasks using Behavior Trees and LLMs
Nicholas Potteiger, Ankita Samaddar, Taylor T. Johnson +1
Decomposing complex tasks into a sequence of simpler subtasks can improve learning efficiency for an autonomous agent. Reinforcement learning (RL) can be used to optimize agent pol…
Formalizing Stateful Behavior Trees
Serena S. Serbinowska, Preston Robinette, Gabor Karsai +1
Behavior Trees (BTs) are high-level controllers that are useful in a variety of planning tasks and are gaining traction in robotic mission planning. As they gain popularity in safe…
Verification of Behavior Trees with Contingency Monitors
Serena S. Serbinowska, Nicholas Potteiger, Anne M. Tumlin +1
Behavior Trees (BTs) are high level controllers that have found use in a wide range of robotics tasks. As they grow in popularity and usage, it is crucial to ensure that the approp…