IGLU Gridworld: Simple and Fast Environment for Embodied Dialog Agents

• URL: http://arxiv.org/abs/2206.00142v1
• Date: Tue, 31 May 2022 23:08:22 GMT
• Title: IGLU Gridworld: Simple and Fast Environment for Embodied Dialog Agents
• Authors: Artem Zholus, Alexey Skrynnik, Shrestha Mohanty, Zoya Volovikova, Julia Kiseleva, Artur Szlam, Marc-Alexandre Cot\'e, Aleksandr I. Panov
• Abstract summary: 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.
• Score: 54.300585048295225
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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