Imitation is a key part in the human learning. In the high-tech world, if you are not an innovator, you want to be a quick follower. In reinforcement learning, we maximize the rewards for our actions. Model-based RL focuses on the model (the system dynamics) to optimize our decisions while Policy Gradient methods improve the policy for better rewards.

On the other hand, Imitation learning focuses on imitating expert demonstrations. Read More

#human, #observational-learning, #reinforcement-learning