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

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.

A Dual-Coding Architecture for Intelligent Social Agents.

Summer of Code, IITB 2017. This project involves developing smart agents that can play simple PC games. We use OpenAI as the base platform for benchmarking and testing.

Snake game in python with intelligent, self learning agents.

Intelligent agent to play Wumpus World using Genetic Algorithms

Formats and pivots data from D2L Brightspace intelligent agents, outcomes, and survey reports (manual Excel workflows also included)

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

Tic-Tac-Toe

A multi-agent platform built on the top of the pystarworldsturbo library. Part of the Intelligent Agents course taught at Royal Holloway University of London.

This project explores the creation of dynamic agent-based environments using the Environment Editor (EE), a custom-built tool designed to generate multi-layered grid systems for simulations and games.

An intelligent system for map exploration, victim clustering, severity estimation using machine learning, and rescue mission optimization with genetic algorithms.

All programs for AI lab

This repository is intended for developing reinforcement learning algorithms.

Experimenting with intelligent agents utilizing a variety of different algorithmic methods to develop an expert level bot for the card game of Schnapsen.