Reinforcement Learning, Deep Learning, Machine Learning, Neural Networks, Algorithms.
best action to take in the current state. Sample inefficiency: Reinforcement learning algorithms typically require a large number of interactions with the environment to learn an optimal policy. This can be time-consuming and costly in some real-world applications where interactions with the