IGLU Gridworld: Simple and Fast Environment for Embodied Dialog Agents

05/31/2022

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by   Artem Zholus, et al.

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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.