semitable/robotic-warehouse
Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment
Implements a configurable grid-based warehouse simulator with collision dynamics that prioritize agent mobility, partial observability (3x3 sensor windows), and sparse reward signals from shelf delivery tasks. Fully compatible with Gymnasium, supporting parameterized environment variants (tiny/small/medium/large layouts, variable agent counts, and difficulty modifiers) plus custom warehouse layouts via ASCII strings. Agents navigate discrete action spaces (rotate, move, load/unload) while managing collision resolution and coordinating multi-agent delivery workflows.
416 stars. No commits in the last 6 months.
Stars
416
Forks
89
Language
Python
License
MIT
Category
Last pushed
Sep 15, 2024
Commits (30d)
0
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