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» A New Way to Introduce Knowledge into Reinforcement Learning
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PKDD
2009
Springer
129views Data Mining» more  PKDD 2009»
15 years 4 months ago
Considering Unseen States as Impossible in Factored Reinforcement Learning
Abstract. The Factored Markov Decision Process (FMDP) framework is a standard representation for sequential decision problems under uncertainty where the state is represented as a ...
Olga Kozlova, Olivier Sigaud, Pierre-Henri Wuillem...
71
Voted
ECIS
2001
14 years 11 months ago
Connecting Knowledge Management and Experiential Learning to Gain New Insights and Research Perspectives
There is a growing sense that knowledge management, to be most effective, must address questions of knowledge creation and innovation in organisational contexts. Therefore, knowle...
Jordi Comas, Sandra Sieber
75
Voted
NORDICHI
2004
ACM
15 years 2 months ago
Designing a collaborative virtual environment for introducing pupils to complex subject matter
Mission Queen Maud Land (MQML) is a collaborative virtual environment that was developed to explore new ways to stimulate secondary school pupils to collaborate in grasping comple...
Ragnhild Halvorsrud, Simen Hagen
ECML
2007
Springer
15 years 1 months ago
Efficient Continuous-Time Reinforcement Learning with Adaptive State Graphs
Abstract. We present a new reinforcement learning approach for deterministic continuous control problems in environments with unknown, arbitrary reward functions. The difficulty of...
Gerhard Neumann, Michael Pfeiffer, Wolfgang Maass
90
Voted
EPIA
2007
Springer
15 years 3 months ago
Generalization and Transfer Learning in Noise-Affected Robot Navigation Tasks
Abstract. When a robot learns to solve a goal-directed navigation task with reinforcement learning, the acquired strategy can usually exclusively be applied to the task that has be...
Lutz Frommberger