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1. medium.com › @salaheddine › this-tutorial-is-incredibly-detailed-andThis tutorial is incredibly detailed and informative! - Medium

   medium.com › @salaheddine › this-tutorial-is-incredibly-detailed-and

   29 wrz 2024 · As a data scientist, I appreciate the step-by-step approach to building agents with Python. Your explanations make complex concepts accessible and practical. Follow

2. stackoverflow.com › questions › 10606133Sending "User-agent" using Requests library in Python

   stackoverflow.com › questions › 10606133

   The simplest way to do what you want is to create a dictionary and specify your headers directly, like so: import requests url = 'SOME URL' headers = { 'User-Agent': 'My User Agent 1.0', 'From': ' [email protected] ' # This is another valid field } response = requests.get (url, headers=headers)

3. github.com › jofmi › agentpyAgentPy - Agent-based modeling in Python - GitHub

   github.com › jofmi › agentpy

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   AgentPy is an open-source library for the development and analysis of agent-based models in Python. The framework integrates the tasks of model design, interactive simulations, numerical experiments, and data analysis within a single environment.

4. thenewstack.io › collaborative-intelligence-in-multiagent-systems-with-pythonCollaborative Intelligence in Multiagent Systems With Python

   thenewstack.io › collaborative-intelligence-in-multiagent-systems-with-python

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   22 godz. temu · Multiagent systems (MAS) represent a groundbreaking trend in the development of AI-driven solutions. By allowing multiple agents to collaborate, each with its own area of expertise, MAS dramatically enhance the efficiency and effectiveness of large-scale problem-solving tasks. With Python tools like LangChain, implementing multiagent systems is ...

5. pypi.org › project › agentpyagentpy - PyPI

   pypi.org › project › agentpy

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   21 gru 2021 · AgentPy is an open-source library for the development and analysis of agent-based models in Python. The framework integrates the tasks of model design, interactive simulations, numerical experiments, and data analysis within a single environment.

6. www.geeksforgeeks.org › types-of-agents-in-aiTypes of Agents in AI - GeeksforGeeks

   www.geeksforgeeks.org › types-of-agents-in-ai

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   15 maj 2024 · This article explores the different types of AI agents designed for specific problem-solving situations and approaches. Table of Content. 1. Simple Reflex Agent. 2. Model-Based Reflex Agents. 3. Goal-Based Agents. 4. Utility-Based Agents. 5. Learning Agents. 6. Rational Agents. 7. Reflex Agents with State. 8. Learning Agents with a Model. 9.

7. github.com › topics › multi-agent-systemsmulti-agent-systems · GitHub Topics · GitHub

   github.com › topics › multi-agent-systems

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   VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.