Reinforcement Learning, Deep Learning, Machine Learning, Neural Networks, Algorithms.
learn optimal policies in environments with large state spaces and stochastic rewards. However, it requires sufficient exploration of the state-action space to avoid getting stuck in suboptimal policies, which can be challenging in some environments. Additionally, Q-learning assumes that the state