In this study, different coatings (gray epoxy primer, white varnish and red alkyd paint) of 7075 aluminum alloy are cleaned with a 500 W continuous-wave (CW) fiber laser. We analyzed the influence laser power density on temperature evolution target surface morphology. Under condition continuous irradiation for 1 s, experimental results indicated that suitable cleaning thresholds primer varnish,...

Learning by observation allows non-technical experts to transfer their skills to an agent by shifting the knowledge-transfer task to the agent. However, for the agent to learn regardless of expert, domain, or observed behavior, it must learn in a general-purpose manner. Existing learning by observation agents allow for domain-independent learning and reasoning but require human intervention to ...

In this paper we propose a methodology for the design of student modeler autonomous agent based on constraint model. The function of our autononious agent is to interpret the student’s constraint violations arid draw a behavioral schema of the student’s knowledge transfer skills on neural networks concepts. We aimed to build a student modeler by taking advantage of both the theoretical framewor...

This work introduces Human-Agent Transfer (HAT), an algorithm that combines transfer learning, learning from demonstration and reinforcement learning to achieve rapid learning and high performance in complex domains. Using experiments in a simulated robot soccer domain, we show that human demonstrations transferred into a baseline policy for an agent and refined using reinforcement learning sig...

An objective of transfer learning is to improve and speedup learning on target tasks after training on a different, but related source tasks. This research is a study of comparative Neuro-Evolution (NE) methods for transferring evolved multi-agent policies (behaviors) between multi-agent tasks of varying complexity. The efficacy of five variants of two NE methods are compared for multi-agent po...

A sulfur transfer agent in catalysts can effectively reduce the emission of SO2 with minimum adverse effects on the catalytic cracking ability of the primary catalyst. In this paper, the composition and performance of sulfur transfer agents with different oxidative active components (such as Cu, Fe, Ni, Co, Ba, Zn and Cr) were prepared by acid peptization technique and characterized by X-ray di...

In this paper we introduce a budgeted knowledge transfer algorithm for non-homogeneous reinforcement learning agents. Here the source and the target agents are completely identical except in their state representations. The algorithm uses functional space (Q-value space) as the transfer-learning media. In this method, the target agent's functional points (Q-values) are estimated in an automatic...

An objective of transfer learning is to improve and speedup learning on target tasks after training on a different, but related source tasks. This research is a study of comparative Neuro-Evolution (NE) methods for transferring evolved multi-agent policies (behaviors) between multi-agent tasks of varying complexity. The efficacy of five variants of two NE methods are compared for multi-agent po...