Dalila Megherbi

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– Reinforcement learning techniques have contributed and continue to tremendously contribute to the advancement of machine learning. In this paper, we introduce a technique for reinforcement learning using multiple lookahead levels that grants an autonomous agent more visibility in its environment and helps it learn faster. This technique extends the(More)
– Reinforcement learning techniques like the Q-Learning one and the Multiple-Lookahead-Levels one that we introduced in our prior work require the agent to complete an initial exploratory path followed by as many hypothetical and physical paths as necessary to find the optimal path to the goal. This paper introduces a reinforcement learning technique that(More)
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