This is a fork of the ML-Agents repository. The project extends the framework for studying the effects of sensory inputs and learning rates on soccer agents in a simulated environment. In the ...

Abstract: Undoubtedly, machine learning (ML) has demonstrated a wealth of far-reaching successes present both at the level of fundamental developments, design methodologies and numerous application ...

Abstract: Effort estimations are a crucial aspect of software development. The tasks should be completed before the start of any software project. Accurate estimations increase the chances of project ...

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement ...