Search Results for author: Sharat Chidambaran

Found 2 papers, 0 papers with code

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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