Search Results for author: Amir Behjat

Found 4 papers, 0 papers with code

Metamodel Based Forward and Inverse Design for Passive Vibration Suppression

no code implementations29 Jul 2020 Amir Behjat, Manaswin Oddiraju, Mohammad Ali Attarzadeh, Mostafa Nouh, Souma Chowdhury

Further novel contribution occurs through the development of an inverse modeling approach that can instantaneously produce the 1D metamaterial design with minimum mass for a given desired non-resonant frequency range.

Training Detection-Range-Frugal Cooperative Collision Avoidance Models for Quadcopters via Neuroevolution

no code implementations31 May 2019 Amir Behjat, Krushang Gabani, Souma Chowdhury

Neuroevolution, which uses evolutionary algorithms to simultaneously optimize the topology and weights of neural networks, is used as the learning method -- which operates over a set of sample approach scenarios.

Adaptive Genomic Evolution of Neural Network Topologies (AGENT) for State-to-Action Mapping in Autonomous Agents

no code implementations17 Mar 2019 Amir Behjat, Sharat Chidambaran, Souma Chowdhury

Neuroevolution is a process of training neural networks (NN) through an evolutionary algorithm, usually to serve as a state-to-action mapping model in control or reinforcement learning-type problems.

reinforcement Learning

Multi-criteria Evolution of Neural Network Topologies: Balancing Experience and Performance in Autonomous Systems

no code implementations20 Jul 2018 Sharat Chidambaran, Amir Behjat, Souma Chowdhury

Majority of Artificial Neural Network (ANN) implementations in autonomous systems use a fixed/user-prescribed network topology, leading to sub-optimal performance and low portability.

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