A lightweight intelligent agent framework implementing the complete ReAct pattern
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Updated
Aug 15, 2025 - Python
A lightweight intelligent agent framework implementing the complete ReAct pattern
Q-Learning Swarm Foraging 2026: Multi-Agent RL in Dynamic Grid Environments
This is the official implementation of the paper "Speech2AffectiveGestures: Synthesizing Co-Speech Gestures with Generative Adversarial Affective Expression Learning".
A collection of AI-driven tools designed to enhance productivity, streamline task automation, and make everyday work more manageable.
Master's thesis about autonomous navigation of a drone in indoor environments carried out to obtain the degree of Master of Science in Computer Science Engineering (University of Liège, academic year 2020-2021).
MATLAB implementation of all the Operations Research algorithms and problems solved by me.
This is the official implementation of the paper "Text2Gestures: A Transformer-Based Network for Generating Emotive Body Gestures for Virtual Agents".
Deep Reinforcement Learning to Play 2048 (with Keras)
An intelligent, stateful Customer Support Agent built with LangGraph and LangChain. It categorizes incoming queries, analyses their sentiment, and either routes them to the right specialist handler or escalates negative-sentiment queries to a human agent.
Dual-mode AI assistant (CLI + Telegram) powered by Perplexity AI. Fast, modular, and cross-platform.
An intelligent agent that adaptively changes its thought processes to maximize cumulative reward
This is the official implementation of the paper "Generating Emotive Gaits for Virtual Agents Using Affect-Based Autoregression".
🎮 🕹️ 🔫 Intelligent opponents (enemy AI) in Unity using a Finite State Machine (FSM) approach.
A Data Questioning Tool that tells you the what and the why
This repository contains projects and exercises developed during the Artificial Intelligence course at UNAM. It covers topics such as fuzzy logic, adversarial search algorithms, intelligent agents, and more.
Project: MTG Training Ground — A dynamic platform for experimenting with AI and ML techniques, designed to train artificial agents for strategic mastery in "Magic: The Gathering" gameplay!
AI Hub & Intelligent Agentic Platform for the Enterprise - self-hostable AI hub for enterprise knowledge.
High speed autonomous vehicle navigation and lane change in dense traffic scenario using custom SUMO gym Environment and Reinforcement Learning algorithm
ShellSense is an intelligent linux terminal plugin designed to enhance your terminal experience with powerful features and AI-powered capabilities. Developed using Python, ShellSense offers a streamlined workflow for various tasks, making your terminal more efficient and user-friendly.
Tristam stands for Training Intelligent Sequencer Tool for Adaptative Music.
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