Performance Metrics for State-Based Imitation Learning
Mohamed Zalat, Babak Esfandiari · Proceedings of the ... International Florida Artificial Intelligence Research Society Conference · 2021
We propose five new domain-independent metrics for evaluating and comparing performance at imitating a state-based expert. We use two agents in the RoboCup environment to compare the performance metrics: an agent based on a Multi-Layer Perceptron (MLP) and an agent based on a Long Short-Term Memory (LSTM) neural network.