Multi-Agent Reinforcement Learning for Navigation
Budget: $10 – $40 USD
I'm seeking a skilled developer to create a reinforcement learning algorithm tailored for a cooperative multi-agent system. The agents will operate in a simulated environment and will primarily focus on navigation and pathfinding tasks.
Key Requirements:
- Develop a cooperative multi-agent reinforcement learning algorithm.
- Implement this in a simulated environment.
- Design the system to handle navigation and pathfinding tasks.
Ideal Experience:
- Proven expertise in developing reinforcement learning algorithms.
- Prior work with multi-agent systems.
- Experience in designing tasks for navigation and pathfinding.
Please look the file. I need you to do the last part where multiple agents needs to go through multiple target and comeback to one common location using the efficient path.
Key Requirements:
- Develop a cooperative multi-agent reinforcement learning algorithm.
- Implement this in a simulated environment.
- Design the system to handle navigation and pathfinding tasks.
Ideal Experience:
- Proven expertise in developing reinforcement learning algorithms.
- Prior work with multi-agent systems.
- Experience in designing tasks for navigation and pathfinding.
Please look the file. I need you to do the last part where multiple agents needs to go through multiple target and comeback to one common location using the efficient path.