most citedModelling a new, low CO2 emissions, hydrogen steelmaking process

219 citations · 219 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2025

Comparative Analysis of Barrier-like Function Methods for Reach-Avoid Verification in Stochastic Discrete-Time Systems

Zhipeng Cao, Peixin Wang, Luke Ong +3

In this paper, we compare several representative barrier-like conditions from the literature for infinite-horizon reach-avoid verification of stochastic discrete-time systems. Our…

cs.LG2025

SB-TRPO: Towards Safe Reinforcement Learning with Hard Constraints

Dominik Wagner, Ankit Kanwar, Luke Ong

In safety-critical domains, reinforcement learning (RL) systems must satisfy strict, zero-cost safety constraints while achieving meaningful task performance. Existing model-free m…

eess.SY2025

PAC One-Step Safety Certification for Black-Box Discrete-Time Stochastic Systems

Taoran Wu, Dominik Wagner, Jingduo Pan +3

This paper investigates the problem of safety certification for black-box discrete-time stochastic systems, where both the system dynamics and disturbance distributions are unknown…

cs.AI2025

Near-Optimal Reinforcement Learning for Constrained Recurrence Objectives

Dominik Wagner, Leon Witzman, Luke Ong

Recurrence objectives, where a target region must be visited infinitely often, are a fundamental class of specifications for Markov decision processes (MDPs) and form the core of $…

cond-mat.mtrl-sci2014★ 219 cited

Modelling a new, low CO2 emissions, hydrogen steelmaking process

Andrea Ranzani Da Costa, D. Wagner, Fabrice Patisson

In an effort to develop breakthrough technologies that enable drastic reduction in CO2 emissions from steel industry (ULCOS project), the reduction of iron ore by pure hydrogen in…