Implementing Reinforcement Learning with Linear and Deep Function Approximation
From Tabular Methods to Linear Function ApproximationIn reinforcement learning, tabular methods are effective when the state and action spaces are small and discrete. However, as the complexity of the problem increases, the state space grows exponentially, leading to the 'curse of dimensionality'. S...