Deep Hierarchical Planning from Pixels [PDF]
Neural Information Processing Systems, 2022 Intelligent agents need to select long sequences of actions to solve complex tasks. While humans easily break down tasks into subgoals and reach them through millions of muscle commands, current artificial intelligence is limited to tasks with horizons ...
Danijar Hafner +3 more
semanticscholar +1 more source
A Safe Hierarchical Planning Framework for Complex Driving Scenarios based on Reinforcement Learning [PDF]
IEEE International Conference on Robotics and Automation, 2021 Autonomous vehicles need to handle various traffic conditions and make safe and efficient decisions and maneuvers. However, on the one hand, a single optimization/sampling-based motion planner cannot efficiently generate safe trajectories in real time ...
Jinning Li +3 more
semanticscholar +1 more source
Hierarchical Planning for Dynamic Resource Allocation in Smart and Connected Communities [PDF]
ACM Trans. Cyber Phys. Syst., 2021 Resource allocation under uncertainty is a classic problem in city-scale cyber-physical systems. Consider emergency response, where urban planners and first responders optimize the location of ambulances to minimize expected response times to incidents ...
Geoffrey Pettet +3 more
semanticscholar +1 more source
Neural Mechanisms of Hierarchical Planning in a Virtual Subway Network.
Neuron, 2016 Balaguer J +3 more
europepmc +2 more sources
FUEL: Fast UAV Exploration Using Incremental Frontier Structure and Hierarchical Planning [PDF]
IEEE Robotics and Automation Letters, 2020 Autonomous exploration is a fundamental problem for various applications of unmanned aerial vehicles(UAVs). Existing methods, however, were demonstrated to insufficient exploration rate, due to the lack of efficient global coverage, conservative motion ...
Boyu Zhou +3 more
semanticscholar +1 more source
Hierarchical Planning for Long-Horizon Manipulation with Geometric and Symbolic Scene Graphs [PDF]
IEEE International Conference on Robotics and Automation, 2020 We present a visually grounded hierarchical planning algorithm for long-horizon manipulation tasks. Our algorithm offers a joint framework of neuro-symbolic task planning and low-level motion generation conditioned on the specified goal.
Yifeng Zhu +3 more
semanticscholar +1 more source
Leveraging Demonstrations for Learning the Structure and Parameters of Hierarchical Task Networks
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2023 Hierarchical Task Networks (HTNs) are a common formalism for automated planning, allowing to leverage the hierarchical structure of many activities. While HTNs have been used in many practical applications, building a complete and efficient HTN model ...
Philippe Hérail, Arthur Bit-Monnot
doaj +1 more source
Hierarchical planning for resource allocation in emergency response systems [PDF]
International Conference on Cyber-Physical Systems, 2020 A classical problem in city-scale cyber-physical systems (CPS) is resource allocation under uncertainty. Typically, such problems are modeled as Markov (or semi-Markov) decision processes.
Geoffrey Pettet +3 more
semanticscholar +1 more source
Lilotane: A Lifted SAT-based Approach to Hierarchical Planning
Journal of Artificial Intelligence Research, 2021 One of the oldest and most popular approaches to automated planning is to encode the problem at hand into a propositional formula and use a Satisfiability (SAT) solver to find a solution.
Dominik Schreiber
semanticscholar +1 more source
Hierarchical Task Network Planning Based Attack Path Discovery [PDF]
Jisuanji kexue, 2023 Attack path discovery is a critical task for cyber asset security assessment.The existing artificial intelligence-based planning for attack path discovery method is favored by security practitioners due to its rich modeling language and complete planning
WANG Zibo, ZHANG Yaofang, CHEN Yilu, LIU Hongri, WANG Bailing, WANG Chonghua
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