Continuous Histogram Loss: Beyond Neural Similarity. - Artem Zholus; Evgeny Putin (CoRR, 2020)

Case-Based Task Generalization in Model-Based Reinforcement Learning. - Artem Zholus; Aleksandr I. Panov (AGI, 2021)

Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021. - Julia Kiseleva; Ziming Li 001; Mohammad Aliannejadi; Shrestha Mohanty; Maartje ter Hoeve; Mikhail Burtsev 001; Alexey Skrynnik; Artem Zholus; Aleksandr Panov; Kavya Srinet; Arthur Szlam; Yuxuan Sun 004; et al. (NeurIPS (Competition and Demos), 2021)

Interactive Grounded Language Understanding in a Collaborative Environment: Retrospective on Iglu 2022 Competition. - Julia Kiseleva; Alexey Skrynnik; Artem Zholus; Shrestha Mohanty; Negar Arabzadeh; Marc-Alexandre Côté; Mohammad Aliannejadi; Milagro Teruel; Ziming Li 001; Mikhail Burtsev 001; Maartje ter Hoeve; Zoya Volovikova; et al. (NeurIPS (Competition and Demos), 2021)

NeurIPS 2021 Competition IGLU: Interactive Grounded Language Understanding in a Collaborative Environment. - Julia Kiseleva; Ziming Li 001; Mohammad Aliannejadi; Shrestha Mohanty; Maartje ter Hoeve; Mikhail Burtsev 001; Alexey Skrynnik; Artem Zholus; Aleksandr I. Panov; Kavya Srinet; Arthur Szlam; Yuxuan Sun 004; et al. (CoRR, 2021)

Multitask Adaptation by Retrospective Exploration with Learned World Models. - Artem Zholus; Aleksandr I. Panov (CoRR, 2021)

IGLU 2022: Interactive Grounded Language Understanding in a Collaborative Environment at NeurIPS 2022. - Julia Kiseleva; Alexey Skrynnik; Artem Zholus; Shrestha Mohanty; Negar Arabzadeh; Marc-Alexandre Côté; Mohammad Aliannejadi; Milagro Teruel; Ziming Li 001; Mikhail Burtsev 001; Maartje ter Hoeve; Zoya Volovikova; et al. (CoRR, 2022)

IGLU Gridworld: Simple and Fast Environment for Embodied Dialog Agents. - Artem Zholus; Alexey Skrynnik; Shrestha Mohanty; Zoya Volovikova; Julia Kiseleva; Arthur Szlam; Marc-Alexandre Côté; Aleksandr I. Panov (CoRR, 2022)

Learning to Solve Voxel Building Embodied Tasks from Pixels and Natural Language Instructions. - Alexey Skrynnik; Zoya Volovikova; Marc-Alexandre Côté; Anton Voronov; Artem Zholus; Negar Arabzadeh; Shrestha Mohanty; Milagro Teruel; Ahmed Awadallah 001; Aleksandr Panov; Mikhail Burtsev 001; Julia Kiseleva (CoRR, 2022)

Collecting Interactive Multi-modal Datasets for Grounded Language Understanding. - Shrestha Mohanty; Negar Arabzadeh; Milagro Teruel; Yuxuan Sun 004; Artem Zholus; Alexey Skrynnik; Mikhail Burtsev 001; Kavya Srinet; Aleksandr Panov; Arthur Szlam; Marc-Alexandre Côté; Julia Kiseleva (CoRR, 2022)

Transforming Human-Centered AI Collaboration: Redefining Embodied Agents Capabilities through Interactive Grounded Language Instructions. - Shrestha Mohanty; Negar Arabzadeh; Julia Kiseleva; Artem Zholus; Milagro Teruel; Ahmed Awadallah 001; Yuxuan Sun 004; Kavya Srinet; Arthur Szlam (CoRR, 2023)

Mastering Memory Tasks with World Models. - Mohammad Reza Samsami; Artem Zholus; Janarthanan Rajendran; Sarath Chandar (ICLR, 2024)

Interpretability in Action: Exploratory Analysis of VPT, a Minecraft Agent. - Karolis Jucys; George Adamopoulos; Mehrab Hamidi; Stephanie Milani; Mohammad Reza Samsami; Artem Zholus; Sonia Joseph; Blake A. Richards; Irina Rish; Özgür Simsek (CoRR, 2024)

Unraveling the Complexity of Memory in RL Agents: an Approach for Classification and Evaluation. - Egor Cherepanov; Nikita Kachaev; Artem Zholus; Alexey K. Kovalev; Aleksandr I. Panov (CoRR, 2024)

TRecViT: A Recurrent Video Transformer. - Viorica Patraucean; Xu Owen He; Joseph Heyward; Chuhan Zhang; Mehdi S. M. Sajjadi; George-Cristian Muraru; Artem Zholus; Mahdi Karami; Ross Goroshin; Yutian Chen 001; Simon Osindero; João Carreira 001; et al. (CoRR, 2024)

BindGPT: A Scalable Framework for 3D Molecular Design via Language Modeling and Reinforcement Learning. - Artem Zholus; Maksim Kuznetsov; Roman Schutski; Rim Shayakhmetov; Daniil Polykovskiy; Sarath Chandar; Alex Zhavoronkov (AAAI, 2025)

IDAT: A Multi-Modal Dataset and Toolkit for Building and Evaluating Interactive Task-Solving Agents. - Shrestha Mohanty; Negar Arabzadeh; Andrea Tupini; Yuxuan Sun 004; Alexey Skrynnik; Artem Zholus; Marc-Alexandre Côté; Julia Kiseleva (SIGIR, 2025)

TAPNext: Tracking Any Point (TAP) as Next Token Prediction. - Artem Zholus; Carl Doersch; Yi Yang 007; Skanda Koppula; Viorica Patraucean; Xu Owen He; Ignacio Rocco; Mehdi S. M. Sajjadi; Sarath Chandar; Ross Goroshin (CoRR, 2025)

V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning. - Mido Assran; Adrien Bardes; David Fan; Quentin Garrido; Russell Howes; Mojtaba Komeili; Matthew J. Muckley; Ammar Rizvi; Claire Roberts; Koustuv Sinha; Artem Zholus; Sergio Arnaud; et al. (CoRR, 2025)