Policy Learning: A Unified Perspective with Applications in Robotics (2008)
Peters, J., Kober, J., Nguyen-Tuong, D., Girgin, S., Loth, M., Munos, R., ...
Policy Learning approaches are among the best suited methods for high-dimensional, continuous control systems such as anthropomorphic robot arms and humanoid robots. In this paper, we show two...
Probabilistic Inference for Fast Learning in Control (2008)
Rasmussen, C.E., Deisenroth, M.P., Girgin, S., Loth, M., Munos, R., Preux, P., ...
We provide a novel framework for very fast model-based reinforcement learning in continuous state and action spaces. The framework requires probabilistic models that explicitly characterize their...
Individual-based model to enrich an aggregate model (2003)
Duboz, R., Amblard, F., Ramat, E., Deffuant, G., Preux, P.
We propose to use individual-based models as virtual laboratories to identify parameters of aggregate models. We illustrate this approach with a simple example: the diffusion of particles animated by...
Duboz, R., Ramat, E., Preux, P., Amblard, F., Deffuant, G.
We propose to use individual-based models as virtual laboratories to identify parameters of aggregate models. We illustrate this approach with a simple example: the diffusion of particles animated by...
Ramat, E., Preux, P., Seuront, L., Lagadeuc, Y.
Within the framework of a pluridisciplinar research task, we propose a multi-agent modeling of an ecosystem. We discuss methodological aspects to translate a model containing assessments and...
Fitness landscape and the behavior of heuristics (1997)
C. Fonlupt, D. Robilliard, P. Preux
This paper focuses on using the fitness landscape paradigm in order to gain a better understanding of the behavior local search heuristics in order to sove NP-hard problems. We concentrate ourselves...
The landscape of the quadratic assignment problem and local search methods (1997)
V. Bachelet, P. Preux, E-g. Talbi
The Quadratic Assignment Problem (QAP) represents an important class of combinatorial optimization problem with applications in many practical problems. The QAP consists in finding the best...
Fitness Landscape and the Behavior of Heuristics (1997)
C. Fonlupt, D. Robilliard, P. Preux
This paper focuses on using the fitness landscape paradigm in order to gain a better understanding of the behavior of local search heuristics in order to solve NP-hard problems. We concentrate...
Parallel hybrid meta-heuristics: Application to the quadratic assignment problem (1996)
V. Bachelet, P. Preux, E-g. Talbi
Abstract: Meta-heuristics are search techniques that can be applied to a broad range of combinatorial optimization problems. Each meta-heuristic explores and exploits the search space in its own way....
Parallel Hybrid Meta-Heuristics: Application to the Quadratic Assignment Problem (1996)
V. Bachelet, P. Preux, E-G. Talbi
: Meta-heuristics are search techniques that can be applied to a broad range of combinatorial optimization problems. Each meta-heuristic explores and exploits the search space in its own way. No...