Convergence Issues With Function Approximation

# Convergence Issues With Function Approximation in Reinforcement Learning Are you ready to unlock the power of Reinforcement Learning (RL) and build intelligent agents that can conquer complex tasks? While RL offers incredible potential, a major hurdle lies in dealing with large state spaces. That's where function approximation comes in, allowing us to generalize learning across similar states. But this seemingly magical solution introduces its own set of challenges, specifically related to co