http://como.vub.ac.be/ 2012-05-17T01:07:41+02:00 http://como.vub.ac.be/ http://como.vub.ac.be/lib/images/favicon.ico text/html 2012-05-15T13:26:22+02:00 pvrancx http://como.vub.ac.be/members?rev=1337081182&do=diff Home | Activities & Projects | Members | Research | Contact Lab Directors * Prof. Dr. Bernard Manderick * Prof. Dr. Ann Nowé Senior Staff Members * Prof. Dr. ir. Kris Steenhaut * Prof. Dr. Tom Lenaerts Postdocs * Dr. Yann-Michaël De Hauwere * Dr. Madalina M. Drugan * Dr. Cosmin Lazar * Dr. Stijn Meganck * Dr. Virginie van de Schaetzen * Dr. Peter Vrancx text/html 2012-05-15T13:10:48+02:00 pvrancx http://como.vub.ac.be/teaching:thesis_diff_fames?rev=1337080248&do=diff Reinforcement Learning (RL) describes a class of learning algorithms which can be used to let a agent optimize its behavior by trial and error. In the standard problem formulation, the agent is situated in an environment which can assume a number of states. Each time step the environment is in a certain state and the agent selects an action to perform. The result of this action is an immediate reward for the agent and a change in environment state. The agent's goal is to map actions to states in… text/html 2012-05-15T12:54:22+02:00 pvrancx http://como.vub.ac.be/teaching:mathesisproposals?rev=1337079262&do=diff * Reinforcement Learning in Linear-Quadratic Differential Games. * An Android Framework for distributed Reinforcement Learning. * Learning Trajectory Control for Autonomous Vehicles * Using Recurrent Neural Networks for Mobile Robot Navigation * Learning Control for Quadrotor Helicopters * Optimization Algorithm Portfolios * Multi-agent Transfer Learning * Population based Reinforcement Learning * Adaptive Heuristics * Computational Biology proposals * Machine Learnin… text/html 2012-05-11T16:27:51+02:00 tbrys http://como.vub.ac.be/members:tim_brys?rev=1336746471&do=diff Office 10G721 E-mail timbrys [ AT ] vub.ac.be My research is located in the domains of optimization and multi-agent systems. In both domains, I look into detecting a problem's structure and using this knowledge to improve a system's performance - currently through local coordination in multi-agent systems and discrete recombination in evolution strategies. text/html 2012-05-11T10:51:13+02:00 dcatteeu http://como.vub.ac.be/members:david_catteeuw?rev=1336726273&do=diff Office 10 G 711 E-mail dcatteeu [AT] vub.ac.be dcatteeu [AT] como.vub.ac.be Phone 38 87 Job Description I am a teaching assistant at the Computational Modeling (CoMo) lab. Teaching If you have any questions about any course, exercises, etc. You can contact me via e-mail and, if necessary, make an appointment. You can also find me at the CoMo lab (G.10.711) during following office hours: text/html 2012-05-10T16:14:25+02:00 mike http://como.vub.ac.be/members:mihail_mihaylov?rev=1336659265&do=diff About | Job Description | Teaching | Research | Publications | Honours & Awards About Office 10G711 E-mail mmihaylo [ AT ] vub.ac.be Telephone +32 2 629 37 11 Fax +32 2 629 37 08 Address: Vrije Universiteit Brussel Faculty of Sciences (WE) DINF, CoMo, Room 10G711 (map of campus) Mihail Mihaylov Pleinlaan 2 B-1050 Brussels Belgium text/html 2012-05-09T16:22:42+02:00 madevill http://como.vub.ac.be/teaching:wsn_ml?rev=1336573362&do=diff Context Wireless sensor networks (WSN) form an emerging class of networks able to monitor environments with high spatiotemporal accuracy. The network is composed of tiny devices known as wireless sensors or motes, endowed with a microprocessor, a memory, a radio, a battery, and one or more sensors such as temperature, humidity, light or sound sensors. The figure below gives an illustration of a typical wireless sensor platform used in research (TMote), and of an integrated silicon design (Depu… text/html 2012-05-09T16:06:43+02:00 kvmoffae http://como.vub.ac.be/teaching:thesis_perpetual?rev=1336572403&do=diff Context Combining an optimal product or system functionality with low resource consumption and minimal costs is a vision that fits well into recognized customer expectation trends. In reality often a trade-off has to be made between several criteria. For the temperature control of a heater, the economic cost of getting the room to a certain temperature might for example also be important for the user, next to the comfort of having the desired temperature. Therefore, a system will be developed, … text/html 2012-05-09T13:33:34+02:00 pvrancx http://como.vub.ac.be/teaching:thesis_rcrl?rev=1336563214&do=diff Reservoir computing (RC) is a novel paradigm for training and designing recurrent neural networks. Recurrent neural networks extend the traditional feedforward network model by allowing cycles in the network’s structure. These cycles allow the network to use previous network outputs in its computations and effectively implement a type of memory. A downside of these enhanced network capabilities is that training the network weights becomes more complex. Reservoir computing removes this problem by… text/html 2012-05-09T11:28:24+02:00 tbrys http://como.vub.ac.be/teaching:thesis_portfolios?rev=1336555704&do=diff Context Research in machine learning keeps producing more efficient algorithms for solving hard problems, however in most cases there is no single algorithm dominating in performance. This motivated an increasingly relevant corpus of research on metalearning [1], aimed at automating the combination of alternative algorithms into composite problem solvers which improve over the performance of each single component. Simple examples include the selection among alternative algorithms, and tuning o… text/html 2012-05-09T11:21:49+02:00 pvrancx http://como.vub.ac.be/teaching:thesis_heuristic?rev=1336555309&do=diff Context Reinforcement Learning allows an agent to learn optimal behaviour through trial-and-error interactions with its environment. By repeatedly evaluating possible actions in different situations, the agent can discover the consequences of his actions and select the optimal one. Normally, RL does not assume any prior information and the agent's environment is considered to be completely unknown. However, when dealing with specific learning problems expert human knowledge may be available. Th… text/html 2012-05-09T11:16:51+02:00 pvrancx http://como.vub.ac.be/teaching:thesis_comp_bio?rev=1336555011&do=diff Three proposal are available in this domain: Computational Biology: Investigations into protein structure and function (Tom Lenaerts, Elisa Cilia) One of the main research tracks in the group is linked to questions related to the structure and function of proteins. Machine learning methods and advanced algorithms can assist in answering these questions.This is a short list of topics which we want to investigate: text/html 2012-05-09T11:08:14+02:00 pvrancx http://como.vub.ac.be/teaching:thesis_trajectory?rev=1336554494&do=diff An important task in the control of autonomous vehicles, is to steer the vehicle along a predefined trajectory. Classical engineering control strategies can be used to accomplish this task, however, these methods typically rely on a static system model and can have problems adapting to changing conditions or model inaccuracies. The goal of this thesis is to investigate the application of machine learning methods to the problem of trajectory control. A key limitation in this setting is that the l…