In this project, the aim is to find the optimal policy for the agent by employing three distinct techniques: explicitly solving the Bellman optimality equation, policy iteration with iterative policy ...

Unlike supervised learning, reinforcement learning takes no target values as a part of training data. It relies solely on the interaction between agents and its environment and under the markov ...