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This repository provides the code, configurations, and plots from the research on Reinforcement Learning‑Enhanced Design Space Exploration for Digital Multipliers . It enables full reproduction of experiments, visualization of results, and exploration of the RL agents' decision-making process.
Program synthesis framework based on Reinforcement Learning for discovering efficient arithmetic algorithms on SUBLEQ-based One Instruction Set Computers, with hardware-aware optimization and local LLM assistance.
Este repositorio maneja el proyecto de Ajedrez del semillero de investigacion Gmun de la universidad nacional de colombia
This work proposes three combinational strategies to scale up 2 bit inexact array multipliers architectures that were automatically obtained through Reinforcement Learning techniques up to 8 bit multipliers, allowing a partial exploration of the design space without the vast computational expenses needed for a Reinforcement Learning counterpart.
Repositorio Multiplicador con datapath y estructura de control
OpenAI Gym based Tic-Tac-Toe Environment
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