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TAPIR: A software toolkit for approximating and adapting POMDP solutions online

The need for a constant, fully known POMDP model is averted by implementing the recent Adaptive Belief Tree (ABT) algorithm, while user-friendliness is ensured by a welldocumented modular design, which also includes interfaces for the commonly-used Robotics Operating System framework, and the high fidelity simulator V-REP.

The Importance of a Suitable Distance Function in Belief-Space Planning

This work indicates that the rarely used Wasserstein distance (also known as Earth Mover’s Distance) is a more suitable metric than the commonly used \(\mathtt{L1} \) and Kullback–Leibler (\(\Mathtt{KL} \)) for belief-space planning.
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The Evolution of Technology and Emergence of the Knowledge Society

The book is written for engineers, and for other readers who are interested in technology and wish to understand why technological progress becomes faster and faster, what technological changes the authors should expect in the future, and how these changes will impact out lives.
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On limitations of learning algorithms in competitive environments

We discuss conceptual limitations of generic learning algorithms acting in a competitive environment, and demonstrate that they are subject to constraints that are analogous to the constraints on…
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Evaluating transport in irregular pore networks.

A comparison to numerical results for randomly generated networks with different properties is given, indicating the potential for this methodology to handle cases that would pose significant difficulties to many other analytical models.
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Conditional Methods in Modeling CO2 Capture from Coal Syngas

Gasification of coal or biomass with in-situ CO2 capture is an emerging technology aiming to address the problem of climate change. Development of a CO2 sorbent with desirable properties and…
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General Approach for Modelling of Reactive Transport in Porous Media

This work presents a relatively new approach designed for modelling reacting flows in porous media by using conditional expectations. Similar methods, aimed at obtaining, closing and using…
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A Stochastic Process Model of Classical Search

A novel search algorithm is derived, Search by Maximizing the Incremental Rate of Improvement (SMIRI), which is shown to outperform current state-of-the-art anytime search algorithms on a parametrized stochastic tree model for most of the tested parameter values.
arXiv (opens in a new tab)
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