Tim Verbelen

Publications

Multimodal foundation world models for generalist embodied agents. Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Aaron Courville, Sai Rajeswar Mudumba. At Neural Information Processing Systems (NeurIPS), 2024.

PDF Citation Code

Representing Positional Information in Generative World Models for Object Manipulation. Stefano Ferraro, Pietro Mazzaglia, Tim Verbelen, Sai Rajeswar Mudumba. At Workshop at the Neural Information Processing Systems (NeurIPS), 2024.

Representing Positional Information in Generative World Models for Object Manipulation. Stefano Ferraro, Pietro Mazzaglia, Tim Verbelen, Sai Rajeswar Mudumba. At Learning Effective Abstractions for Planning, 2024.

Multimodal foundation world models for generalist embodied agents. Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Aaron Courville, Sai Rajeswar Mudumba. At Workshop at the International Conference of Machine Learning (ICML), 2024.

PDF Citation Code

Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels. Sai Rajeswar Mudumba, Pietro Mazzaglia, Tim Verbelen, Alexandre Piche, Bart Dhoedt, Aaron Courville, Alexandre Lacoste. At International Conference on Machine Learning (ICML), 2023.

PDF Citation Code

Choreographer: Learning and Adapting Skills in Imagination. Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Alexandre Lacoste, Sai Rajeswar Mudumba. At International Conference of Learning Representations (ICLR), 2023.

PDF Citation Code

Choreographer: Learning and Adapting Skills in Imagination . Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Alexandre Lacoste, Sai Rajeswar Mudumba. At Workshop at the Neural Information Processing Systems (NeurIPS), 2022.

PDF Citation Code

Unsupervised Model-based Pre-training for Data-efficient Reinforcement Learning from Pixels. Sai Rajeswar Mudumba, Pietro Mazzaglia, Tim Verbelen, Alexandre Piche, Aaron Courville, Alexandre Lacoste. At Workshop at the International Conference on Machine Learning (ICML), 2022.

PDF Citation Code