Question

Why does an agent using reinforcement learning need to address the problem of temporal credit assignment?

Answer 1

Explanation:

Reinforcement Learning, the agents take random decisions in their environment and learns on selecting the right one out of many to achieve their goal and play at a super-human level. Policy and Value Networks are used together in algorithms like Monte Carlo Tree Search to perform Reinforcement Learning.

Answer 2

Explanation:

can agent using reinforcement learning need to address problem of temporal credit assignment