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A Comparison Of The Performance Of Neural Q-Learning And Soar-Rl On A Derivative Of The Block Design (Bd)/Block Design Multiple Choice (Bdmc) Subtests On The Wisc-Iv Intelligence Test, Charreau Bell

All Theses

Teaching an autonomous agent to perform tasks that are simple to humans can be complex, especially when the task requires successive steps, has a low likelihood of successful completion with a brute force approach, and when the solution space is too large or too complex to be explicitly encoded. Reinforcement learning algorithms are particularly suited to such situations, and are based on rewards that help the agent to find the optimal action to execute given a certain state. The task investigated in this thesis is a modified form of the Block Design (BD) and Block Design Multiple Choice (BDMC) subtests, …