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AROBOTS
1999
104views more  AROBOTS 1999»
15 years 15 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...
127
Voted
GECCO
2010
Springer
222views Optimization» more  GECCO 2010»
14 years 11 months ago
Black-box optimization benchmarking of NEWUOA compared to BIPOP-CMA-ES: on the BBOB noiseless testbed
In this paper, the performances of the NEW Unconstrained Optimization Algorithm (NEWUOA) on some noiseless functions are compared to those of the BI-POPulation Covariance Matrix A...
Nikolaus Hansen, Raymond Ros
82
Voted
ICRA
2010
IEEE
123views Robotics» more  ICRA 2010»
14 years 11 months ago
Robotic motion planning in dynamic, cluttered, uncertain environments
— This paper presents a strategy for planning robot motions in dynamic, cluttered, and uncertain environments. Successful and efficient operation in such environments requires r...
Noel E. Du Toit, Joel W. Burdick
118
Voted
ICSOC
2010
Springer
14 years 11 months ago
Artifact-Centric Choreographies
Classical notations for service collaborations focus either on the control flow of participating services (interacting models) or the order in which messages are exchanged (intera...
Niels Lohmann, Karsten Wolf
IPCV
2010
14 years 10 months ago
Video Action Recognition Using Residual Vector Quantization and Hidden Markov Models
In this paper, we discuss usage of a multi-stage Residual Vector Quantization (RVQ) strategy for human action recognition. To the best of our knowledge, this is the first reported...
Salman Aslam, Christopher F. Barnes, Aaron F. Bobi...