DeliveryGym: An RL Environment for Long-Horizon Embodied Agent Planning with Adaptive Curriculum

Executable environments enable LLM agents to learn from the consequences of their actions. For embodied agents, those consequences extend beyond whether the current task succeeds: completing a delivery can consume the time, energy, or money needed for later work. Learning to plan therefore requires