Towards Efficient Robotic Software Development by Reusing Behavior Tree Structures for Task Planning Paradigms
S Yang, Q Zhang - Complex System Modeling and Simulation, 2023 - ieeexplore.ieee.org
Nowadays, autonomous robots are expected to accomplish more complex tasks and
operate in an open-world environment with uncertainties. Developing software for such …
operate in an open-world environment with uncertainties. Developing software for such …
Unraveling Explainable Reinforcement Learning Using Behavior Tree Structures
K Wan, Y Liu, H Liu, X Xu - ICASSP 2024-2024 IEEE …, 2024 - ieeexplore.ieee.org
The black-box characteristic of deep reinforcement learning restricts the safe and scalable
application of decision models in practical deployment. Existing interpretability methods for …
application of decision models in practical deployment. Existing interpretability methods for …