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8 years 9 months ago
Robust Bayesian reinforcement learning through tight lower bounds
In the Bayesian approach to sequential decision making, exact calculation of the (subjective) utility is intractable. This extends to most special cases of interest, such as reinfo...
Christos Dimitrakakis
TALG
2011
98views more  TALG 2011»
9 years 5 months ago
Tree exploration with logarithmic memory
We consider the task of network exploration by a mobile agent (robot) with small memory. The agent has to traverse all nodes and edges of a network (represented as an undirected c...
Christoph Ambühl, Leszek Gasieniec, Andrzej P...
ICWSM
2009
9 years 8 months ago
Gephi: An Open Source Software for Exploring and Manipulating Networks
Gephi is an open source software for graph and network analysis. It uses a 3D render engine to display large networks in real-time and to speed up the exploration. A flexible and ...
Mathieu Bastian, Sebastien Heymann, Mathieu Jacomy
TVCG
2010
153views more  TVCG 2010»
9 years 9 months ago
A Visual Analytics Approach to Understanding Spatiotemporal Hotspots
As data sources become larger and more complex, the ability to effectively explore and analyze patterns amongst varying sources becomes a critical bottleneck in analytic reasoning...
Ross Maciejewski, Stephen Rudolph, Ryan Hafen, Ahm...
PKDD
2010
Springer
122views Data Mining» more  PKDD 2010»
9 years 9 months ago
Exploration in Relational Worlds
Abstract. One of the key problems in model-based reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large relational domains, in wh...
Tobias Lang, Marc Toussaint, Kristian Kersting
ICRA
2010
IEEE
172views Robotics» more  ICRA 2010»
9 years 9 months ago
Coordinated multi-robot real-time exploration with connectivity and bandwidth awareness
— While there has been substantial progress for multi-robot exploration of an unknown area, little attention has been given to communication, especially bandwidth constraints in ...
Yuanteng Pei, Matt W. Mutka, Ning Xi
NN
2007
Springer
105views Neural Networks» more  NN 2007»
9 years 10 months ago
Guiding exploration by pre-existing knowledge without modifying reward
Reinforcement learning is based on exploration of the environment and receiving reward that indicates which actions taken by the agent are good and which ones are bad. In many app...
Kary Främling
AI
1998
Springer
9 years 10 months ago
Utility-Based On-Line Exploration for Repeated Navigation in an Embedded Graph
In this paper, we address the tradeo between exploration and exploitation for agents which need to learn more about the structure of their environment in order to perform more e e...
Shlomo Argamon-Engelson, Sarit Kraus, Sigalit Sina
TSE
2008
146views more  TSE 2008»
9 years 10 months ago
Delta Execution for Efficient State-Space Exploration of Object-Oriented Programs
We present Delta Execution, a technique that speeds up state-space exploration of object-oriented programs. Statespace exploration is the essence of model checking and an increasin...
Marcelo d'Amorim, Steven Lauterburg, Darko Marinov
RTS
2006
132views more  RTS 2006»
9 years 10 months ago
A framework for modular analysis and exploration of heterogeneous embedded systems
Abstract The increasing complexity of heterogeneous systems-on-chip, SoC, and distributed embedded systems makes system optimization and exploration a challenging task. Ideally, a ...
Arne Hamann, Marek Jersak, Kai Richter, Rolf Ernst
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