Reinforcement Learning, Deep Learning, Machine Learning, Neural Networks, Algorithms.
reinforcement learning. The agent must explore the environment to learn the optimal policy while also exploiting the current knowledge to maximize the expected reward. Credit assignment: In some cases, the reward received by the agent may not reflect the quality of the actions taken in the past.