Search Results for "8-puzzle reinforcement learning python"

PyBoy is an open-source Game Boy emulator written in Python, designed for both gameplay and AI experimentation. It allows users to run classic Game Boy games while providing a powerful API for automation, scripting, and reinforcement learning. Developers can interact directly with game memory, inputs, and screen data, making it ideal for training bots and analyzing game mechanics. PyBoy emphasizes performance, enabling accelerated emulation speeds and frame skipping for large-scale simulations. ...

In an optical network scenario which consists of multiple nodes (whiteboxes) at its edges and ROADMs in-between, the coherent transceiver average laser configuration time is improved. The process is evaluated according to a testbed setup. This is facilitated in the appropriate lab equipment (or via simulation when required). For that purpose, a software agent (Netconf server) residing at the whiteboxes, is developed receiving input from the Software-Defined Networking (SDN) packet...

...Built with a focus on speed, simplicity, and a clean dark-themed interface, UtilityHub bundles multiple essential tools into a single user-friendly application. User Interface • Clean & Intuitive GUI • Dark Theme for comfortable long-duration usage • Beginner-friendly design with minimal learning curve Technology Stack • Python • Tkinter (GUI) • SQLite (Local Storage) • Pillow / PDF Libraries • Packaged as a standalone Windows EXE System Requirements • Operating System: Windows 7 / 8 / 10 / 11 • No Internet Required • No External Dependencies ________________________________________ Installation 1. Download UtilityHub.exe 2. ...

ENAS in PyTorch is a PyTorch implementation of Efficient Neural Architecture Search (ENAS), a method that automates the design of neural network architectures through reinforcement learning and parameter sharing. The repository demonstrates how a controller network can explore a large search space and discover high-performing architectures while dramatically reducing the computational cost traditionally associated with neural architecture search. It is primarily intended as a research and...