Building2Building: A Large-Scale Benchmark for Generalizable Real-World Reinforcement Learning
Researchers have introduced Building2Building (B2B), a large-scale benchmark suite for reinforcement learning (RL) focused on realistic HVAC control environments using the EnergyPlus simulator. B2B features a parametric building generator that creates diverse building configurations and defines tasks addressing key RL challenges such as goal adaptation and cross-domain transfer. The benchmark is designed to systematically study generalization and transfer in continuous control settings.
Why it matters: B2B provides a physically grounded and diverse testbed for advancing RL research on generalization, with potential real-world impact on energy efficiency in building HVAC systems.
Full story at: arXiv Machine Learning ↗