4 papers
Adaptive Bi-Level Multi-Robot Task Allocation and Learning under Uncertainty with Temporal Logic Constraints
Xiaoshan Lin, Roberto Tron
This work addresses the problem of multi-robot coordination under unknown robot transition models, ensuring that tasks specified by Time Window Temporal Logic are satisfied with us…
Data-driven Spatial Classification using Multi-Arm Bandits for Monitoring with Energy-Constrained Mobile Robots
Xiaoshan Lin, Siddharth Nayak, Stefano Di Cairano +1
We consider the spatial classification problem for monitoring using data collected by a coordinated team of mobile robots. Such classification problems arise in several application…
Probabilistic Satisfaction of Temporal Logic Constraints in Reinforcement Learning via Adaptive Policy-Switching
Xiaoshan Lin, Sadık Bera Yüksel, Yasin Yazıcıoğlu +1
Constrained Reinforcement Learning (CRL) is a subset of machine learning that introduces constraints into the traditional reinforcement learning (RL) framework. Unlike conventional…
Reinforcement Learning Under Probabilistic Spatio-Temporal Constraints with Time Windows
Xiaoshan Lin, Abbasali Koochakzadeh, Yasin Yazicioglu +1
We propose an automata-theoretic approach for reinforcement learning (RL) under complex spatio-temporal constraints with time windows. The problem is formulated using a Markov deci…