Searched for: subject%3A%22reinforcements%22
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Saaybi, Serge (author)
Robotic agents can continuously provide feedback to people based on their behaviors. For instance, a robot swarm can remind a group of people to respect social distancing guidelines during a pandemic or discourage unwanted behavior such as littering. However, developing a swarm robot to operate in realistic situations is challenging: a robot...
master thesis 2022
document
Foffano, Daniele (author)
Model-Based Reinforcement Learning (MBRL) algorithms solve sequential decision-making problems, usually formalised as Markov Decision Processes, using a model of the environment dynamics to compute the optimal policy. When dealing with complex environments, the environment dynamics are frequently approximated with function approximators (such as...
master thesis 2022
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Mustafa, S. (author), Singh, S. (author), Hordijk, D. (author), Schlangen, E. (author), Lukovic, M. (author)
Hybrid application of conventional concrete and Strain Hardening Cementitious Composite (SHCC) is recently shown to be promising for crack width control. In this paper, a combined experimental and numerical study is performed to validate the concept and to study the effect of interface treatment on crack width control. The interface is varied...
journal article 2022
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Badea, C. (author), Groot, D.J. (author), Morfin Veytia, A. (author), Ribeiro, M.J. (author), Dalmau, Ramon (author), Ellerbroek, J. (author), Hoekstra, J.M. (author)
Air traffic demand has increased at an unprecedented rate in the last decade (albeit interrupted by the COVID pandemic), but capacity has not increased at the same rate. Higher levels of automation and the implementation of decision-support tools for air traffic controllers could help increase capacity and catch up with demand. The air traffic...
conference paper 2022
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Peschl, M. (author), Zgonnikov, A. (author), Oliehoek, F.A. (author), Cavalcante Siebert, L. (author)
Inferring reward functions from demonstrations and pairwise preferences are auspicious approaches for aligning Reinforcement Learning (RL) agents with human intentions. However, state-of-the art methods typically focus on learning a single reward model, thus rendering it difficult to trade off different reward functions from multiple experts. We...
conference paper 2022
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Olivier, G. (author), Csillag, Fruzsina (author), Tromp, Liesbeth (author), Veltkamp, Martijn (author), Pavlovic, M. (author)
Due to the low weight and excellent durability of composite materials, Fibre Reinforced Polymer (FRP) decks mounted on steel superstructures are becoming all the more common in engineering practice. Bolted joints are generally used to facilitate connections between an FRP deck and steel girders in road bridges. The connections are subjected...
conference paper 2022
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Andriotis, C. (author), Papakonstantinou, K.G. (author)
Inspection and maintenance (I&M) optimization entails many sources of computational complexity, among others, due to high-dimensional decision and state variables in multi-component systems, long planning horizons, stochasticity of objectives and constraints, and inherent uncertainties in measurements and models. This paper studies how the...
conference paper 2022
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Scheder-Bieschin (Aldinger), Lotte (author), Spiekermann, Kerstin (author), Popescu, M.A. (author), Bodea, Serban (author), Van Mele, Tom (author), Block, Philippe (author)
Facing the challenges of our environmental crisis, the AEC sector must significantly lower its carbon footprint and use of first-use resources. A specific target is the reduction of the amount of concrete used. Funicular structures that base their strength on their structurally-informed geometry allow for material efficiency. However, a...
conference paper 2022
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Groot, D.J. (author), Ribeiro, M.J. (author), Ellerbroek, J. (author), Hoekstra, J.M. (author)
Current estimates show that the presence of unmanned aviation is likely to grow exponentially over the course of the next decades. Even with the more conservative estimates, these expected high traffic densities require a re-evaluation of the airspace structure to ensure safe and efficient operations. One structure that scored high on both the...
conference paper 2022
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Suau de Castro, M. (author), He, J. (author), Spaan, M.T.J. (author), Oliehoek, F.A. (author)
Learning effective policies for real-world problems is still an open challenge for the field of reinforcement learning (RL). The main limitation being the amount of data needed and the pace at which that data can be obtained. In this paper, we study how to build lightweight simulators of complicated systems that can run sufficiently fast for...
conference paper 2022
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Vergara Barrios, P.P. (author), Salazar, Mauricio (author), Giraldo, Juan S. (author), Palensky, P. (author)
In this paper, a Reinforcement Learning (RL)-based approach to optimally dispatch PV inverters in unbalanced distribution systems is presented. The proposed approach exploits a decentralized architecture in which PV inverters are operated by agents that perform all computational processes locally; while communicating with a central agent to...
journal article 2022
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Baldi, S. (author), Zhang, Z. (author), Liu, Di (author)
We propose a new reinforcement learning method in the framework of Recursive Least Squares-Temporal Difference (RLS-TD). Instead of using the standard mechanism of eligibility traces (resulting in RLS-TD((Formula presented.))), we propose to use the forgetting factor commonly used in gradient-based or least-square estimation, and we show that...
journal article 2022
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Huang, Y. (author), Grunewald, S. (author), Schlangen, E. (author), Lukovic, M. (author)
Ultra-High Performance Fiber-Reinforced Concrete (UHPFRC) is, due to its superior mechanical properties and low permeability, a promising material for the restoration and improvement of the mechanical resistance and durability of existing Reinforced Concrete (RC) structures. This paper reviews the strengthening applications of UHPFRC in flexure,...
review 2022
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Guo, W. (author), Atasoy, B. (author), Negenborn, R.R. (author)
Global synchromodal transportation involves the movement of container shipments between inland terminals located in different continents using ships, barges, trains, trucks, or any combination among them through integrated planning at a network level. One of the challenges faced by global operators is the matching of accepted shipments with...
journal article 2022
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Gu, D. (author), Pan, Jinlong (author), Lukovic, M. (author), He, Jixuan (author)
Application of fiber-reinforced polymer (FRP) reinforcement in concrete beams may cause large deflection and crack width, as well as low shear capacity and ductility due to relatively small stiffness of FRP materials. To avoid these unfavorable factors and evaluate the shear behavior of FRP-reinforced structural members, a high-performance...
journal article 2022
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Rijsdijk, Jorai (author), Wu, L. (author), Perin, G. (author)
Deep learning-based side-channel attacks are capable of breaking targets protected with countermeasures. The constant progress in the last few years makes the attacks more powerful, requiring fewer traces to break a target. Unfortunately, to protect against such attacks, we still rely solely on methods developed to protect against generic...
conference paper 2022
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Teixidó, Helena (author), Staal, Jeroen (author), Çağlar, B. (author), Michaud, Véronique (author)
Capillarity plays a crucial role in many natural and engineered systems, ranging from nutrient delivery in plants to functional textiles for wear comfort or thermal heat pipes for heat dissipation. Unlike nano- or microfluidic systems with well-defined pore network geometries and well-understood capillary flow, fiber textiles or preforms used...
review 2022
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de Putter, Arjen (author), Hendriks, M.A.N. (author), Rots, J.G. (author), Yang, Y. (author), Engen, Morten (author), van den Bos, Ab A. (author)
Nineteen 2D nonlinear finite element analysis (NLFEA) solution strategies were benchmarked against a wide variety of 101 experiments on reinforced concrete beams failing in bending, flexural shear, or shear compression. The relatively high number of solution strategies was motivated by the conviction that choices for the constitutive models,...
journal article 2022
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Rabbani, Fahad Ali (author), Yasin, Saima (author), Iqbal, Tanveer (author), Farooq, U. (author)
Nanoindentation is widely used to investigate the surface-mechanical properties of biocomposites. In this study, polypropylene random copolymer (PPRC) and biowaste rice husk (BRH) were used as the main raw materials, and glass-fiber-reinforced polypropylene and talc were also used with BRH to enhance the mechanical characterization of the...
journal article 2022
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Werlen, Vincent (author), Rytka, Christian (author), Wegmann, Stephanie (author), Philipp, Halime (author), Khalaf, Yara (author), Michaud, Véronique (author), Brauner, Christian (author), Dransfeld, C.A. (author)
Thermoplastic compression resin transfer moulding coupled with injection moulding is an appealing process for the production of thermoplastic composites. However, its implementation at an industrial scale remains challenging as variotherm injection moulding could prevent solid skin formation in the parting line, making cavity sealing...
journal article 2022
Searched for: subject%3A%22reinforcements%22
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