semitable/robotic-warehouse
A multi-agent reinforcement learning environment simulating warehouse robots for training autonomous systems.
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The RWARE environment provides a simulation platform for training multi-agent reinforcement learning systems in a warehouse setting. Robots navigate the environment to pick and deliver goods while avoiding collisions. It implements the Gymnasium interface for RL training workflows and supports custom layouts, human play, and benchmarking multi-agent algorithms.
Frequently asked
- What is semitable/robotic-warehouse?
- A multi-agent reinforcement learning environment simulating warehouse robots for training autonomous systems.
- Is robotic-warehouse open source?
- Yes — semitable/robotic-warehouse is open source, released under the MIT license.
- What language is robotic-warehouse written in?
- semitable/robotic-warehouse is primarily written in Python.
- How popular is robotic-warehouse?
- semitable/robotic-warehouse has 435 stars on GitHub.
- Where can I find robotic-warehouse?
- semitable/robotic-warehouse is on GitHub at https://github.com/semitable/robotic-warehouse.