Discover 13+ Multi-Agent Planning prompts for AI assistants. Copy and use instantly with ChatGPT, Claude, Gemini, and more.
AGENT WORKER: upload output to cloud storage as CSV file with task_id and timestamp
AGENT WORKER: retrieve next task from task_queue and process input data using pre-trained model
AGENT REVIEWER: verify_result result from worker_id workers.csv and assign score in JSON format
Write a Python function that uses the A* search algorithm to plan actions for a team of 3 agents, each with its own set of possible actions, given the current state of a dynamic environment and the goal state, assuming the environment is represented as a grap…
Python Generate a plan for a robot to navigate through a maze and collect all items while avoiding obstacles, output: step-by-step instructions in plain text, constraints: maze size is 10x10, items are stationary objects.
C++ Develop a planning framework for a swarm of drones to coordinate their flight plans and optimize their coverage area, output: executable code in C++ (approximately 100 lines), constraints: drone density is high (50 drones), environmental conditions includ…
Can you provide an evaluation of the effectiveness of recent meta-learning approaches for multi-agent planning, including reinforcement learning and model-based methods, with specific focus on their ability to handle uncertain environments?
A futuristic metropolis at dusk with sleek skyscrapers, neon lights reflecting off wet pavement, a lone figure in the foreground navigating an invisible map on their phone, high-contrast black and white style, warm golden lighting, 16:9 aspect ratio, muted bl…
Design an immersive narrative-driven conversation between three intelligent agents with contrasting personalities negotiating the allocation of limited resources in a decentralized AI network.
Craft an eerie, atmospheric voiceover narration guiding an ensemble cast of robotic agents through a mysterious, abandoned research facility filled with cryptic clues and hidden dangers.
JavaScript Create an algorithm for a multi-agent system where each agent has a unique task and must collaborate with other agents to achieve their tasks, output: pseudo-code representation of the algorithm in a specific programming language (e.g., Python or J…
What are the limitations and potential avenues for improvement in current state-of-the-art multi-agent planning systems, specifically examining the trade-offs between individual agent autonomy and centralized control?
What is the impact of incorporating game theory and learning objectives into multi-agent planning algorithms, with a focus on applications in robotics and supply chain management?