Exploring multiple paths toward Artificial General Intelligence.
AGI-Brain is an open research and engineering group dedicated to the pursuit of Artificial General Intelligence (AGI) π
We are interested in any approach, methodology, or system that contributes to the understanding and construction of general intelligent agents.
Our research spans a broad range of directions, including but not limited to:
- π€ Embodied intelligence and robotics
- π― Decision-making and control
- π§ Reinforcement learning and sequential reasoning
- ποΈ Machine perception and representation learning
- π Learning, planning, and interaction in complex environments
Rather than committing to a single paradigm, AGI-Brain embraces multiple complementary research paths, combining theoretical insights, empirical exploration, and scalable engineering systems.
Our long-term goal is to build reusable, extensible, and reproducible infrastructures π§© that support sustained research toward general-purpose intelligence.
- XuanCe β A unified and extensible framework for reinforcement learning and agent-based research
- XuanCe-Benchmarks β Standardized evaluation and benchmarking for agent learning systems