Reinforcement Learning, Deep Learning, Machine Learning, Neural Networks, Algorithms.
in reinforcement learning is the amount of data required to train an agent. Developing algorithms that can learn effectively from fewer samples could significantly increase the applicability of reinforcement learning in real-world scenarios. Safe and ethical RL: As reinforcement learning is applied