UC-Berkely Pacman
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Updated
Dec 24, 2021 - Python
UC-Berkely Pacman
Imagine a personal assistant in your pocket 📱 that handles your emails 📧, schedule 📅, and to-do lists ✅—all through Telegram. That's what this Telegram AI agent does! 🤖✨
This Python tool employs multi-agent routing to efficiently handle diverse tasks: one agent generates QR codes, while another retrieves and processes data from a CSV file. Depending on the user's query, the appropriate agent is dynamically selected to provide accurate responses or actions.
Multi-agent communication module for pytorch.
Multi-agent LLMs to mimic the real-life legislative drafting procedure. For the MoJ / Cabinet Office
Implementation of the paper Auction-Based Multi-Robot Routing in Python.
Welcome to FinSight Agents Suite, your ultimate financial decision-making platform. Our suite of advanced tools helps you derive strategic Investment plans, assess Credit Risk, and forecast Earnings Per Share (EPS) with confidence.
Mini-max, Alpha-Beta pruning, Expectimax techniques are used to implement multi-agent pacman adversarial search.
Implementation of Berkeley's Pacman Project as a part of Artificial Intelligence course.
Developing AI search agents to win Pacman.
[EMNLP 2024] CoEvol: Constructing Better Responses for Instruction Finetuning through Multi-Agent Cooperation
Implementation of some Deep Reinforcement Learning algorithms and environments.
A multi agent re-enforcement learning environment for many on many bot fights between space ships
Contains algorithms to train Pacman agent to find/eat food particles .Multi-Agent Algorithms are also used.
Multi Agent Simulation of a Simple Firearm Debate using Mesa
Container handling problem solved using multi-agent model
This repository contains the code necessary for generating the figures presented in the paper titled "Cooperative Thresholded Lasso for Sparse Linear Bandit".
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