OSWorld

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

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License

Apache License V2.0

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Additional Project Details

Programming Language

Python

Related Categories

Python Reinforcement Learning Frameworks

Registered

2025-03-13

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