Updated 6 months ago

berkeley-cs188-artificial-intelligence • Rank 0.0 • Science 44%

👻 Solutions for the course "CS188: Artificial Intelligence" of University of California, Berkeley.(加州大学伯克利分校《CS188:人工智能》的课程作业。)

Updated 5 months ago

https://github.com/beegass/ai-project2 • Rank 3.0 • Science 13%

In the class CS-4341, Artificial Intelligence, we were tasked to build an agent that could play the game of Gomoku. In order to achieve this the team implemented the MiniMax algorithm, Alpha-beta-pruning as well as our own understanding of evualtion function to facilitate the previous two algorithms. Additionally to aide in the agents compentency the team built, from scratch, a linear neural network.

Updated 6 months ago

moonfish • Science 44%

Didactic Python Chess Engine that implements: Negamax, PeSTO’s Evaluation, Null Move, Quiescence Search, Lazy SMP.

Updated 6 months ago

khetai • Science 44%

Optimizing Alpha-beta-based Khet AI Agents