Long-Term Tracking of Evasive Urban Target Based on Intention Inference and Deep Reinforcement Learning
P Yan, J Guo, X Su, C Bai - IEEE Transactions on Neural …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have been widely used in urban target-tracking tasks,
where long-term tracking of evasive targets is of great significance for public safety …
where long-term tracking of evasive targets is of great significance for public safety …
Boosting search guidance in problems with semantic attachments
Most applications of planning to real problems involve complex and often non-linear
equations, including matrix operations. PDDL is ill-suited to express such calculations since …
equations, including matrix operations. PDDL is ill-suited to express such calculations since …
Autonomous target search with multiple coordinated UAVs
Search and tracking is the problem of locating a moving target and following it to its
destination. In this work, we consider a scenario in which the target moves across a large …
destination. In this work, we consider a scenario in which the target moves across a large …
Multi-objective evolutionary algorithms are generally good: Maximizing monotone submodular functions over sequences
Evolutionary algorithms (EAs) are general-purpose optimization algorithms, inspired by
natural evolution. Recent theoretical studies have shown that EAs can achieve good …
natural evolution. Recent theoretical studies have shown that EAs can achieve good …
Through the lens of sequence submodularity
Several real-world problems in engineering and applied science require the selection of
sequences that maximize a given reward function. Optimizing over sequences as opposed …
sequences that maximize a given reward function. Optimizing over sequences as opposed …
Deterministic versus probabilistic methods for searching for an evasive target
Several advanced applications of autonomous aerial vehicles in civilian and military
contexts involve a searching agent with imperfect sensors that seeks to locate a mobile …
contexts involve a searching agent with imperfect sensors that seeks to locate a mobile …
[HTML][HTML] A unifying look at sequence submodularity
Several real-world problems in engineering and applied science require the selection of
sequences that maximize a given reward function. Optimizing over sequences as opposed …
sequences that maximize a given reward function. Optimizing over sequences as opposed …
Škálovatelné pravděpodobnostní plánování nezávislých úloh pomocí multi-agentní dekompozice
J Starý - 2017 - dspace.cvut.cz
The multi-agent non-deterministic planning in general has issues with its scalability. This
thesis presents a solution for multi-agent planning of problems with decoupled tasks to …
thesis presents a solution for multi-agent planning of problems with decoupled tasks to …