Dalila Megherbi

发表

Reinforcement learning technique using agent state occurrence frequency with analysis of knowledge sharing on the agent’s learning process in multiagent environments

Hani Al-Dayaa, Dalila Megherbi, 2010, The Journal of Supercomputing.

Knowledge Sharing in Multi-Agent Environments with the Distance-and-Frequency Reinforcement Learning Technique

Hani Al-Dayaa, Dalila Megherbi, 2010, IC-AI.

An Autonomous Hybrid Cognitive/Reactive Agent Path Planning Technique in a Networked-Distributed Unstructured Environment for Reinforcement Learning

Dalila Megherbi, Vikram Malaiya, 2007, PDPTA.

Fast Reinforcement Learning Techniques Using the Euclidean Distance and Agent State Occurrence Frequency

Hani Al-Dayaa, Dalila Megherbi, 2006, MLMTA.

A hybrid cognitive/reactive intelligent agent autonomous path planning technique in a networked-distributed unstructured environment for reinforcement learning

Dalila Megherbi, Vikram Malayia, D. Megherbi, 2012, The Journal of Supercomputing.

A Fast Reinforcement Learning Technique via Multiple Lookahead Levels

Hani Al-Dayaa, Dalila Megherbi, D. Megherbi, 2006, MLMTA.

Fuzzy-logic-model-based technique with application to Urdu character recognition

Dalila Megherbi, Saeed M. Lodhi, A. J. Boulenouar, 2000, Electronic Imaging.

Implementation of a Parallel Genetic Algorithm on a Cluster of Workstations: The Travelling Salesman Problem, a Case Study

Dalila Megherbi, Germinal Isern, Giuseppe A. Sena, 1999, IPPS/SPDP Workshops.

Towards a Multiple-Lookahead-Levels agent reinforcement-learning technique and its implementation in integrated circuits

Hani Al-Dayaa, Dalila Megherbi, H. Al-Dayaa, 2012, The Journal of Supercomputing.

A Lyapunov-Stability-Based System Hardware Architecture for a Real-Time Multiple-Look-Ahead-Levels Reinforcement Learning

Hani Al-Dayaa, Dalila Megherbi, 2007, MLMTA.

Implementation of a parallel Genetic Algorithm on a cluster of workstations: Traveling Salesman Problem, a case study

Dalila Megherbi, Germinal Isern, Giuseppe A. Sena, 2001, Future Gener. Comput. Syst..