Search Results for author: Zoya Volovikova

Found 3 papers, 3 papers with code

Learning to Solve Voxel Building Embodied Tasks from Pixels and Natural Language Instructions

1 code implementation • 1 Nov 2022 • Alexey Skrynnik, Zoya Volovikova, Marc-Alexandre Côté, Anton Voronov, Artem Zholus, Negar Arabzadeh, Shrestha Mohanty, Milagro Teruel, Ahmed Awadallah, Aleksandr Panov, Mikhail Burtsev, Julia Kiseleva

The adoption of pre-trained language models to generate action plans for embodied agents is a promising research strategy.

Language Modelling reinforcement-learning +1

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IGLU Gridworld: Simple and Fast Environment for Embodied Dialog Agents

1 code implementation • 31 May 2022 • Artem Zholus, Alexey Skrynnik, Shrestha Mohanty, Zoya Volovikova, Julia Kiseleva, Artur Szlam, Marc-Alexandre Coté, Aleksandr I. Panov

We present the IGLU Gridworld: a reinforcement learning environment for building and evaluating language conditioned embodied agents in a scalable way.

reinforcement-learning Reinforcement Learning (RL)

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IGLU 2022: Interactive Grounded Language Understanding in a Collaborative Environment at NeurIPS 2022

1 code implementation • 27 May 2022 • Julia Kiseleva, Alexey Skrynnik, Artem Zholus, Shrestha Mohanty, Negar Arabzadeh, Marc-Alexandre Côté, Mohammad Aliannejadi, Milagro Teruel, Ziming Li, Mikhail Burtsev, Maartje ter Hoeve, Zoya Volovikova, Aleksandr Panov, Yuxuan Sun, Kavya Srinet, Arthur Szlam, Ahmed Awadallah

Starting from a very young age, humans acquire new skills and learn how to solve new tasks either by imitating the behavior of others or by following provided natural language instructions.

Natural Language Understanding Reinforcement Learning (RL)

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