Sequential Association Rule Mining for Autonomously Extracting Hierarchical Task Structures in Reinforcement Learning
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2965930
Abstract: Reinforcement learning (RL) techniques, while often powerful, can suffer from slow learning speeds, particularly in high dimensional spaces or in environments with sparse rewards. The decomposition of tasks into a hierarchical structure holds the potential… read more here.
Keywords: reinforcement learning; task; rule mining; hierarchical task ... See more keywords
A decision-making framework using MCTS as a hierarchical task network and deep learning connector
Sign Up to like & getrecommendations! Published in 2025 at "Science Progress"
DOI: 10.1177/00368504251386308
Abstract: Currently, purely deep learning-based agents struggle to make optimal decisions within a short timeframe in problems with a vast decision-making space. Human planning knowledge is required to assist agents in making better decisions. This manuscript… read more here.
Keywords: deep learning; task network; decision making; learning ... See more keywords
Combining a hierarchical task network planner with a constraint satisfaction solver for assembly operations involving routing problems in a multi-robot context
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Advanced Robotic Systems"
DOI: 10.1177/1729881418782088
Abstract: This work addresses the combination of a symbolic hierarchical task network planner and a constraint satisfaction solver for the vehicle routing problem in a multi-robot context for structure assembly operations. Each planner has its own… read more here.
Keywords: solver; network planner; hierarchical task; task network ... See more keywords