Concept
Problem solving
Related publications (581)
ADAPT21: Adaptability as a 21st century skill
All life is problem solving. We are most often faced with situations, in which the information that is needed to solve a problem is not immediately obvious and in which things can change quite rapidly. For instance, imagine the software on your smartphone ...
Open Science Framework2021Developing STEM and Team-working Skills Through Collaborative Space Robotics Missions
Francesco Mondada, Evgeniia Bonnet
Building on the success of the first North-South cross-continental collaborative educational robotics mission held in November 2015 [1], this paper presents a practical model for scaling the event up into a program for developing countries, particularly th ...
IEEE2021Learning-Augmented Dynamic Power Management with Multiple States via New Ski Rental Bounds
Adam Teodor Polak, Marek Elias
We study the online problem of minimizing power consumption in systems with multiple power-saving states. During idle periods of unknown lengths, an algorithm has to choose between power-saving states of different energy consumption and wake-up costs. We d ...
2021Optimal Control Combining Emulation and Imitation to Acquire Physical Assistance Skills
Sylvain Calinon, Amirreza Razmjoo Fard, Teguh Santoso Lembono
paper studies exploiting action-level learning (imitation) in the optimal control problem context. Cost functions defined by the optimal control methods are similar to the goal-level learning (emulation) in animals. However, imitating the robot's or others ...
IEEE2021Optimal Adversarial Policies in the Multiplicative Learning System With a Malicious Expert
Negar Kiyavash, Seyed Jalal Etesami
We consider a learning system based on the conventional multiplicative weight ( MW) rule that combines experts' advice to predict a sequence of true outcomes. It is assumed that one of the experts is malicious and aims to impose the maximum loss on the sys ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021A unifying framework for form-finding and topology-finding of tensegrity structures
This paper presents a unifying framework for the form-finding and topology-finding of tensegrity structures. The novel computational framework is based on rank-constrained linear matrix inequalities. For form-finding, given the topology (i.e., member conne ...
PERGAMON-ELSEVIER SCIENCE LTD2021Distributionally Robust Optimization with Markovian Data
Daniel Kuhn, Mengmeng Li, Tobias Sutter
We study a stochastic program where the probability distribution of the uncertain problem parameters is unknown and only indirectly observed via finitely many correlated samples generated by an unknown Markov chain with d states. We propose a data-driven d ...
2021p Recommender systems: Past, present, future
The origins of modern recommender systems date back to the early 1990s when they were mainly applied experimentally to personal email and information filtering. Today, 30 years later, personalized recommendations are ubiquitous and research in this highly ...
AMER ASSOC ARTIFICIAL INTELL2021Federated Learning Over Wireless Networks: Convergence Analysis and Resource Allocation
There is an increasing interest in a fast-growing machine learning technique called Federated Learning (FL), in which the model training is distributed over mobile user equipment (UEs), exploiting UEs' local computation and training data. Despite its advan ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021