Creating Intelligent Agents: Combining Agent-Based Modeling with Machine Learning

TL;DR: In this article, the authors present a comprehensive introduction to the theory and practice of artificial intelligence for modern applications, including game playing, planning and acting, and reinforcement learning with neural networks.

TL;DR: In this article, two machine learning procedures have been investigated in some detail using the game of checkers, and enough work has been done to verify the fact that a computer can be programmed so that it will lear...

TL;DR: This paper shows that additional sensation from another agent is beneficial if it can be used efficiently, sharing learned policies or episodes among agents speeds up learning at the cost of communication, and for joint tasks, agents engaging in partnership can significantly outperform independent agents although they may learn slowly in the beginning.