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Using deep reinforcement learning to play Snake game. The used algorithm is PPO for discrete! It has the brilliant performance in the field of discrete action space just like in continuous action space. You just need half an hour to train the snake and then it can be as smart as you.|使用深度强化学习玩蛇游戏。 使用的算法是离散的 PPO! 它在离散动作空间领域有着与连续动作空间一样的出色表现。
Algorithm for solving the Hamiltonian cycle problem deterministically and in linear time on all instances of discocube graphs (tested for graphs with over 8 billion vertices). Discocube graphs are 3-dimensional grid graphs derived from: a polycube of an octahedron | a Hauy construction of an octahedron with cubes as identical building blocks...
An algorithm for solving the Hamiltonian cycle problem deterministically and in linear time on all instances of discocube graphs (tested for over graphs with 1 billion vertices).
Tests the, still open, Ruskey-Savage Conjecture (1993) for small values of n. Searches for Hamiltonian cycle with constraints. (Final project for Non-procedural programming course.)