The frog in maze challenge is definitely a tricky one because it’s not just about pathfinding but also handling probabilities with traps and exits. Breaking the problem down into states and transitions usually helps, and thinking of it in terms of Markov chains can make the logic clearer. It reminds me a bit of how planning a reliable route, whether in coding or in real life with services like bnlbostonlimo.com, is all about minimizing uncertainty and making sure you reach the destination smoothly.

Did you approach the solution more with dynamic programming or by simulating probabilities step by step?