Reinforcement Learning, Artificial Intelligence, Deep Learning.
the agent has encountered, with the trace decayed over time. When the agent receives a reward, it updates its policy based on the expected future rewards and the trace of its previous experiences. This allows the agent to take into account the long-term dependencies of the problem, and to learn