  We present the IGLU Gridworld: a reinforcement learning environment for
building and evaluating language conditioned embodied agents in a scalable way.
The environment features visual agent embodiment, interactive learning through
collaboration, language conditioned RL, and combinatorically hard task (3d
blocks building) space.
