activity
20222026
most citedOptimistic and Topological Value Iteration for Simple Stochastic Games

4 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

Mind the Prompt: Self-adaptive Generation of Task Plan Explanations via LLMs

Gricel Vázquez, Alexandros Evangelidis, Sepeedeh Shahbeigi +2

Integrating Large Language Models (LLMs) into complex software systems enables the generation of human-understandable explanations of opaque AI processes, such as automated task pl…

cs.AI2025

Accelerating Policy Synthesis in Large-Scale MDPs via Hierarchical Adaptive Refinement

Alexandros Evangelidis, Gricel Vázquez, Simos Gerasimou

Software-intensive systems, such as software product lines and robotics, utilise Markov decision processes (MDPs) to capture uncertainty and analyse sequential decision-making prob…

cs.MA2025

Adaptive Human-Robot Collaborative Missions using Hybrid Task Planning

Gricel Vázquez, Alexandros Evangelidis, Sepeedeh Shahbeigi +1

Producing robust task plans in human-robot collaborative missions is a critical activity in order to increase the likelihood of these missions completing successfully. Despite the…

cs.AI2023★ 1 cited

MULTIGAIN 2.0: MDP controller synthesis for multiple mean-payoff, LTL and steady-state constraints

Severin Bals, Alexandros Evangelidis, Jan Křetínský +1

We present MULTIGAIN 2.0, a major extension to the controller synthesis tool MULTIGAIN, built on top of the probabilistic model checker PRISM. This new version extends MULTIGAIN's…

cs.GT2022★ 4 cited

Optimistic and Topological Value Iteration for Simple Stochastic Games

Muqsit Azeem, Alexandros Evangelidis, Jan Křetínský +2

While value iteration (VI) is a standard solution approach to simple stochastic games (SSGs), it suffered from the lack of a stopping criterion. Recently, several solutions have ap…