planetary-mining-rovers

Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch

Jason is a fully-fledged interpreter for an extended version of AgentSpeak, a BDI agent-oriented logic programming language.

Immersive workshop showcasing the remarkable potential of integrating SoTA foundation models to enhance product experiences and streamline backend workflows. Leverages Microsoft's Copilot stack, Semantic Kernel and Azure primitives to offer an engaging and comprehensive introduction to AI-infused app development and deployment

This project focuses on building a logic to calculate the distance to the next edge when a robot equipped with a 2D LIDAR sensor is placed on a table. The project leverages the RPlidar.h library and a Raspberry Pi Pico to work with the LIDAR sensor.

Framework for integrate BDI agents and Reinforcement Learning.

Scrape-AI is a Python library for intelligent web scraping using LLMs like, OpenAI, Anthropicand Selenium. It dynamically fetches data based on user queries, enabling agent-like scraping with configurable models, modular design, and support for real-time data extraction from dynamic websites.

Implementation of a BDI driver agent that uses BDI plans for high-level path planning and Reinforcement Learning for low-level control. Environment: f1tenth car and simulator.

Framework to program BDI agents for embedded systems

Snake game in python with intelligent, self learning agents.

Интеллектуальные системы 2024