Machine Learning, Deep Learning, Llm, NLP, Transformers.
learning in which we have to train an agent to find a policy (set of steps) that is optimal and maximizes the cumulative reward. Let me explain it with the help of an example shown below. RL The agent is present at location (1,1). It can take one step at a time i.e. one action. If it gets to peach