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OSWorld is an open-source synthetic world environment designed for embodied AI research and multi-agent learning. It provides a richly simulated 3D world where multiple agents can interact, perform tasks, and learn complex behaviors. OSWorld emphasizes multi-modal interaction, enabling agents to process visual, auditory, and symbolic data for grounded learning in a simulated world.
Features
- Simulates a rich 3D world for embodied multi-agent learning
- Supports multiple sensor modalities including vision and sound
- Designed for large-scale training of autonomous AI agents
- Includes complex interaction and collaboration tasks
- Fully customizable environments and agent properties
- Supports integration with reinforcement learning and language models
Project Samples
Categories
Reinforcement Learning FrameworksLicense
Apache License V2.0Follow OSWorld
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