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

no code implementations • 20 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.

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

no code implementations • 17 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.

Collision Avoidance Reinforcement Learning (RL)