Backtracking is a general algorithm for finding solutions to problems by trying potential solutions incrementally. It explores a search space by trying out different options, and if a path leads to a ...

Abstract: In this paper, we present an implementation model which efficiently supports backtracking in an independent and-parallel nondeterministic system. The problem is tackled in the context of ...

Abstract: Reinforcement learning algorithms are widely used to generate policies for complex Markov decision processes. We introduce backtracking, a modification to reinforcement learning algorithms ...

This project was done by me in the context of a programming competition at Concordia university. The competition was one where each team was given the same four problems, and the teams had to solve ...