• Tidak ada hasil yang ditemukan

Thesis Title: Immuno-Inspired Embodied Lifelong Learning in Robots Name of Thesis Supervisor(s) : Prof

N/A
N/A
Protected

Academic year: 2023

Membagikan "Thesis Title: Immuno-Inspired Embodied Lifelong Learning in Robots Name of Thesis Supervisor(s) : Prof"

Copied!
1
0
0

Teks penuh

(1)

INDIAN INSTITUTE OF TECHNOLOGY GUWAHATI SHORT ABSTRACT OF THESIS

Name of the Student : Divya D. Kulkarni

Roll Number : 166101005

Programme of Study : Ph.D.

Thesis Title: Immuno-Inspired Embodied Lifelong Learning in Robots

Name of Thesis Supervisor(s) : Prof. Shivashankar B. Nair

Thesis Submitted to the Department/ Center : Computer Science and Engineering Date of completion of Thesis Viva-Voce Exam : 19-May-2023

Key words for description of Thesis Work : Lifelong Learning, Embodied Learning, Immuno-Inspired Algorithms, Machine Learning, Robotics

SHORT ABSTRACT

The work describes the formulation of immuno-inspired mechanisms to continuously evolve, cache, manage and evict several Artificial Neural Network (ANN) based robot controllers, within disparate Halls-of-Fame, thereby facilitating Embodied Life-long learning in robots. The work also introduces a novel concept termed Mutational Puissance to enhance learning in ANN based controllers that use neuro-evolution.

Further, unlike the conventional layer-wise transfers conducted in ANN-based Transfer Learning, a new immunology inspired Neuronal-level Transfer Learning technique has also been described. The technique aids in identifying neurons that play a more significant role during the learning phase. These, so-called, hot neurons, when transferred to target ANNs hasten learning convergence, especially when the source and target dataset domains are dissimilar. Transfer of such neurons has also proved to be effective while learning in scenarios involving robots.

Abstract-TH-3068_166101005

Referensi

Dokumen terkait

Arindam Dey Thesis Submitted to the Department/ Center : Civil Engineering Date of completion of Thesis Viva-Voce Exam : 25.01.2022 Key words for description of Thesis Work :