[ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
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Updated
Jun 2, 2024 - C
[ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
Reinforcement Learning with tabular methods: TD-learning (Q-learning and SARSA) and MENACE-like approach applied to a Rubik's cube with a move set restricted to 180-degree turns.
This library provides a set of basic functions for different type of deep learning (and other) algorithms in C.This deep learning library will be constantly updated
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