[D] Introduction to Various Reinforcement Learning Algorithms. Part I (Q-Learning, SARSA, DQN, DDPG) • r/MachineLearning

I should have mentioned that model-based learning allows the agent to plan ahead. For that statement, I am talking about the transition probability T(s', s, a). You are going from current state s to the next state s' after taking action a, and you have to store all the combinations. I will be very appreciated if you can point out the typo lol.