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AROBOTS
2008
104views more  AROBOTS 2008»
15 years 21 days ago
Modeling dynamic scenarios for local sensor-based motion planning
This paper addresses the modeling of the static and dynamic parts of the scenario and how to use this information with a sensor-based motion planning system. The contribution in th...
Luis Montesano, Javier Minguez, Luis Montano
JIIS
2006
76views more  JIIS 2006»
15 years 16 days ago
Holes in joins
A join of two relations in real databases is usually much smaller than their cartesian product. This means that most of the combinations of tuples in the crossproduct of the respe...
Jarek Gryz, Dongming Liang
94
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SIGPRO
2008
130views more  SIGPRO 2008»
15 years 15 days ago
Cepstrum of bispectrum - A new approach to blind system reconstruction
In this paper, an improved approach to blind deconvolution of LTI systems incorporating phase unwrapping is presented. The method can recover a noise-free estimate of the logarith...
Shahjahan Shahid, Jacqueline Walker
AROBOTS
1999
104views more  AROBOTS 1999»
15 years 7 days ago
Reinforcement Learning Soccer Teams with Incomplete World Models
We use reinforcement learning (RL) to compute strategies for multiagent soccer teams. RL may pro t signi cantly from world models (WMs) estimating state transition probabilities an...
Marco Wiering, Rafal Salustowicz, Jürgen Schm...
94
Voted
ACL
2009
14 years 10 months ago
Reinforcement Learning for Mapping Instructions to Actions
In this paper, we present a reinforcement learning approach for mapping natural language instructions to sequences of executable actions. We assume access to a reward function tha...
S. R. K. Branavan, Harr Chen, Luke S. Zettlemoyer,...