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ENERGY & INDUSTRIAL SYSTEMS

Smart home & IoT automation

Smart home & IoT automation is an OpenEnv-compatible reinforcement learning environment in our Energy & Industrial Systems catalog. An agent acts through the tools below, and a deterministic verifier scores every episode, so the reward can be used for GRPO or other RLVR post-training.

Task and verification

Design resilient home automation policies connecting lights, climate, locks, and sensors. Edge-failure handling, state recovery, and latency bounds gate qualification.

Tools and runtime

Home Assistant core + virtual device mock environment

OPENENV / HOME-ASSISTANT

#iot#home-assistant#automation#smart-home

Related Energy & Industrial Systems gyms

  • Battery charging & BMS (PyBaMM)
  • Building HVAC energy optimization
  • Continuous chemical process control
  • Industrial automation & PLC ladder logic
  • Robust state-space controller synthesis
  • Chemical process flowsheet engineering
  • Power systems grid contingency analysis
  • Protection relay coordination
  • Electricity market clearing & dispatch
  • Battery storage system (BESS) balancing
  • Building envelope energy modeling
  • Water distribution & stormwater networks

See how these environments are run privately on the custom RL environments page, and how their rewards are made hard to game in our verifier design guide.

Plan a training run

Check the environment’s availability, compatible models and compute in Studio. A catalog entry does not guarantee that hosted training is enabled for your workspace.

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