Search Results for "self learning"
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9 projects for "self learning" with 2 filters applied:
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Flexbox Froggy
A game for learning CSS flexbox
Flexbox Froggy is an interactive browser game for learning CSS Flexbox. It teaches layout concepts by asking players to move frogs onto lily pads using real CSS properties. The game turns abstract alignment rules into visual challenges, making it easier for beginners to understand how Flexbox behaves. Players practice properties such as justify-content, align-items, flex-direction, order, align-self, flex-wrap, and align-content. -
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Blockly Games
Games for tomorrow's programmers
Blockly Games is a collection of educational games that teach core programming concepts using Google’s Blockly visual blocks. Each game introduces ideas like sequencing, loops, conditionals, functions, and variables through playful puzzles that gradually increase in difficulty. Under the hood, the block programs compile to JavaScript, giving learners a bridge from drag-and-drop logic to real code. The activities are self-contained and browser-based, requiring no installation, which makes... -
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ELF (Extensive Lightweight Framework)
An End-To-End, Lightweight and Flexible Platform for Game Research
ELF (Extensive, Lightweight, and Flexible) is a high-performance platform for reinforcement learning research that unifies simulation, data collection, and distributed training. A C++ core provides fast environments and concurrent actors, while Python bindings expose simple APIs for agents, replay, and optimization loops. It supports both single-agent and multi-agent settings, with batched stepping and shared-memory queues that keep GPUs saturated during training. -
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DarkForestGo
DarkForest, the Facebook Go engine
darkforestGo is an early deep-reinforcement-learning Go engine that combined a convolutional policy/value network with Monte Carlo Tree Search (MCTS) to play the full 19×19 game at a strong amateur level. The system couples fast GPU policy inference with CPU or GPU-assisted tree search so priors from the network guide exploration while search refines local tactics. Training pipelines mix supervised learning from human professional games and self-play fine-tuning, allowing the model to learn opening patterns and endgame tactics beyond simple pattern libraries. ... -
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neurochess
Self chess learning process by artificial neural network
Self chess learning process by artificial neural network white random attribution to of values of chess game, before to pass opposed value to neural network and the desire successor of board with various part of game chess generated with minimax algorithm. -
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RuleRule
A puzzle game of rules acting upon rules. Create the desired pattern.
RuleRule is a game which might be of interest to students and researchers of AI, machine learning and related areas. In this game, rules act and modify other rules (including themselves). The goal is to reach a desired condition (e.g. a checkerboard of red and yellow). Versions For a first test of the game mechanics in your browser, download the Javascript version, coded by Jan-Hendrik Vienup (December 2014, GPL) tested with Firefox, MSIE, Chrome, and Safari :... -
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Sudoku generator/solver/analyzer written in Java (English and German). Lots of human style techniques (singles, subsets, LCs, fish, wings, uniqueness, coloring, chains, ALS), powerful analyzer (manage multiple solutions for one sudoku). Includes Learning and training modes and a booklet printer.
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Reactor Breeder
A Genetic Algorithm for Reactors in StarMade
This software uses a genetic algorithm to "evolve" reactor designs for Schema's space-simulation game, Star-Made (http://star-made.org/). One of the more unique aspects of the game is that ship power management is not as simple as filling a cube with power generation blocks. This mechanism leads to difficulties in getting maximal power generation out of such reactors. This program rectifies this issue by using a self-organizing variant of brute force search. Much of the search space is... -
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There are lots of bots out for Half-Life. Many closed source or Windows only. All of them are based on Botmans Code ( http://www.planethalflife.com/botman ). The goal of this project is to make a self-learning, waypointless, opensource, Linux+Win. Bot
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