IEEE

Probabilistic Reachability Analysis of Stochastic Control Systems

Abstract: We address the reachability problem for continuous-time stochastic dynamic systems. Our objective is to present a unified framework that characterizes the reachable set of a dynamic system ...
GitHub

[AAAI 2025] DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models

This repository is the official implementation of "DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models" accepted by the Main Technical Track of the 39th ...
IEEE

Multi-Agent Reinforcement Learning in Non-Cooperative Stochastic Games Using Large Language Models

Abstract: We study the use of large language models (LLMs) to integrate high-level knowledge in stochastic games using reinforcement learning with reward machines to encode non-Markovian and Markovian ...