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This manuscript is focused on transfer learning methods for reinforcement learning agents. An preview of contemporary papers in area of transfer Leaning and Knowledge transfer. We provided the background and overview of knowledge transfer methods with an emphasis on the topics of reinforcement learning. [ABSTRACT FROM AUTHOR]

Autonomous agents in moving subspace should move in a particular formation. This article provides a brief overview of current Reinforcement Learning methods for formation control. The approaches to creating the formation and avoiding collisions between individual agents are considered. [ABSTRACT FROM AUTHOR]

In this article, we discuss deep learning methods for reinforcement learning agents. We study the application of multi-agent deep reinforcement learning techniques in agents. The main hypothesis is that deep reinforcement learning and collective behaviour approach demonstrate better performance than classic reinforcement learning. So autonomous agents are capable of discovering good solutions to the problem at hand by cooperate with other learners. [ABSTRACT FROM AUTHOR]