This implementation is a software that can be written using a special simulator, "Minimax simulator", which is the target execution environment. That simulator was successfully developed for micro-programming and hardware simulations. In this regard, this study develops an algorithm that represents a ...
4.8129Genetic-AlgorithmGeneticAlgorithm 4.11136And-Or-Graph-SearchAndOrSearch 4147Online search problemOnlineSearchProblem 4.21150Online-DFS-AgentOnlineDFSAgent 4.24152LRTA*-AgentLRTAStarAgent 5.3166Minimax-DecisionMinimaxSearch 5.7170Alpha-Beta-SearchAlphaBetaSearch ...
However, if you need more L1 cache for the other needs, you can decrease the amount of cache used by logarithm algorithm by reducingcnLog2TblBitsto e.g. 5 at expense of decreasing the accuracy of logarithm computation. Or to keep the accuracy high, you can increase the number of polynomi...
4.8Genetic-Algorithmgenetic_algorithmsearch.py 4.11And-Or-Graph-Searchand_or_graph_searchsearch.py 4.21Online-DFS-Agentonline_dfs_agentsearch.py 4.24LRTA*-AgentLRTAStarAgentsearch.py 5.3Minimax-Decisionminimax_decisiongames.py 5.7Alpha-Beta-Searchalphabeta_searchgames.py ...
Keeping track of the length of the shortest path to get to the target and the nodes that already been visited in visited. Tic-Tac-Toe : 📖 In this project, the Minimax algorithm used, goes over all the future actions possible calculating the min_value or the max_value based on the ...
This paper is intended to describe a new algorithm, which makes entropy function method with Lagrange function and Taylor formula for solving inseparable variables of quadratic programming.Quadratic programming problem are an important in the fields of nonlinear programming problem.Entropy function also cal...
An Implementation of Othello Game Player Using ANN based Records Learning and Minimax Search AlgorithmJeon, YoungjinCho, YoungwanCHONGI HAKHOE NONMUNJI
This paper brings to picture how distributed systems can be utilized to address such issues, which are limited by the hardware configurations of current-day physical systems. To illustrate the same, the Minimax algorithm is depicted here. The algorithm that we have implemented dynamically chooses ...
PyTorch implementation of DoReMi, an algorithm for optimizing data mixtures for language modeling datasets. Modern large language models are trained on many domains (web, books, arXiv, etc.), but how much of each domain to train on is unclear, especially since these models are going to be us...
It should be finite: If your algorithm never ends trying to solve the problem it was designed to solve then it is useless It should have well defined instructions: Each step of the algorithm has to be precisely defined; the instructions should be unambiguously specified for each case. ...