Reinforcement Learning (RL), a “niche” Machine Learning technique, has surfaced in the last five years. In context-based decision making, Reinforcement Learning helps the machine take action-provoking decision making through a trial-and-error approach to achieve the optimal algorithmic model for a situation. Furthermore, the machine is trained through a reward/penalty-based feedback mechanism, the goal of which […]
Deep Learning Updates: Machine Learning, Deep Reinforcement Learning, and Limitations
In recent years, some astonishing technological breakthroughs in the field artificial intelligence (AI) and its sub-field deep learning have begun to train machines to behave like humans. As machines are increasingly emulating complex cognitive functions such as deductive reasoning, inferences, and informed decision-making, robots functioning as humans are a reality in many industry practices today. […]