Nam Le

Orcid: 0000-0002-6862-9257

Affiliations:
  • University of Southampton, GB
  • University College Dublin, Natural Computing Research, Applications Group, Ireland
  • Hanoi University, Hanu IT Research and Development Center, Vietnam (former)


According to our database1, Nam Le authored at least 13 papers between 2016 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2020
Social Learning vs Self-teaching in a Multi-agent Neural Network System.
Proceedings of the Applications of Evolutionary Computation - 23rd European Conference, 2020

2019
Evolving Self-supervised Neural Networks: Autonomous Intelligence from Evolved Self-teaching.
CoRR, 2019

Evolving Self-taught Neural Networks: The Baldwin Effect and the Emergence of Intelligence.
CoRR, 2019

Organic Selection and Social Heredity: The <i>Original</i> Baldwin Effect Revisited.
Proceedings of the 2019 Conference on Artificial Life, 2019

Evolution and self-teaching in neural networks: another comparison when the agent is more primitively conscious.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Evolutionary consequences of learning strategies in a dynamic rugged landscape.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

The Evolution of Self-taught Neural Networks in a Multi-agent Environment.
Proceedings of the Applications of Evolutionary Computation, 2019

How Learning Strategies Can Promote an Evolving Population in Dynamic Environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
How the "Baldwin Effect" Can Guide Evolution in Dynamic Environments.
Proceedings of the Theory and Practice of Natural Computing - 7th International Conference, 2018

Adaptive Advantage of Learning Strategies: A Study Through Dynamic Landscape.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

The Baldwin Effect Reconsidered Through the Prism of Social Learning.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
Social Grammatical Evolution with imitation learning for real-valued function estimation.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Complexity measures in Genetic Programming learning: A brief review.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016


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