Kanervisto, Anssi

12 publications

ICLR 2026 BFM-Zero: A Promptable Behavioral Foundation Model for Humanoid Control Using Unsupervised Reinforcement Learning Yitang Li, Zhengyi Luo, Tonghe Zhang, Cunxi Dai, Anssi Kanervisto, Andrea Tirinzoni, Haoyang Weng, Kris Kitani, Mateusz Guzek, Ahmed Touati, Alessandro Lazaric, Matteo Pirotta, Guanya Shi

ICLR 2025 Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation Models Andrea Tirinzoni, Ahmed Touati, Jesse Farebrother, Mateusz Guzek, Anssi Kanervisto, Yingchen Xu, Alessandro Lazaric, Matteo Pirotta

ICMLW 2024 BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents That Solve Fuzzy Tasks Stephanie Milani, Anssi Kanervisto, Karolis Jucys, Sander V Schulhoff, Brandon Houghton, Rohin Shah

NeurIPS 2024 Diffusion for World Modeling: Visual Details Matter in Atari Eloi Alonso, Adam Jelley, Vincent Micheli, Anssi Kanervisto, Amos Storkey, Tim Pearce, François Fleuret

NeurIPSW 2024 Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation Models Andrea Tirinzoni, Ahmed Touati, Jesse Farebrother, Mateusz Guzek, Anssi Kanervisto, Yingchen Xu, Alessandro Lazaric, Matteo Pirotta

NeurIPS 2023 BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents That Solve Fuzzy Tasks Stephanie Milani, Anssi Kanervisto, Karolis Ramanauskas, Sander Schulhoff, Brandon Houghton, Rohin Shah

ICLR 2023 Imitating Human Behaviour with Diffusion Models Tim Pearce, Tabish Rashid, Anssi Kanervisto, Dave Bignell, Mingfei Sun, Raluca Georgescu, Sergio Valcarcel Macua, Shan Zheng Tan, Ida Momennejad, Katja Hofmann, Sam Devlin

NeurIPSW 2022 Imitating Human Behaviour with Diffusion Models Tim Pearce, Tabish Rashid, Anssi Kanervisto, David Bignell, Mingfei Sun, Raluca Georgescu, Sergio Valcarcel Macua, Shan Zheng Tan, Ida Momennejad, Katja Hofmann, Sam Devlin

NeurIPSW 2021 General Characterization of Agents by States They Visit Anssi Kanervisto, Tomi Kinnunen, Ville Hautamaki

CVPRW 2021 Multi-Task Learning with Attention for End-to-End Autonomous Driving Keishi Ishihara, Anssi Kanervisto, Jun Miura, Ville Hautamäki

MLOSS 2021 Stable-Baselines3: Reliable Reinforcement Learning Implementations Antonin Raffin, Ashley Hill, Adam Gleave, Anssi Kanervisto, Maximilian Ernestus, Noah Dormann

ICML 2017 Image-to-Markup Generation with Coarse-to-Fine Attention Yuntian Deng, Anssi Kanervisto, Jeffrey Ling, Alexander M. Rush