LGMay 31, 2022
IGLU Gridworld: Simple and Fast Environment for Embodied Dialog AgentsArtem Zholus, Alexey Skrynnik, Shrestha Mohanty et al. · microsoft-research, mit
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.