Bogdan Mazoure

According to our database, Bogdan Mazoure authored at least 28 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Large Language Models as Generalizable Policies for Embodied Tasks.

Andrew Szot, Max Schwarzer, Harsh Agrawal, Bogdan Mazoure, Walter Talbott, Katherine Metcalf, Natalie Mackraz, R. Devon Hjelm, Alexander Toshev

CoRR, 2023

Value function estimation using conditional diffusion models for control.

Bogdan Mazoure, Walter Talbott, Miguel Ángel Bautista, R. Devon Hjelm, Alexander Toshev, Joshua M. Susskind

CoRR, 2023

Accelerating exploration and representation learning with offline pre-training.

Bogdan Mazoure, Jake Bruce, Doina Precup, Rob Fergus, Ankit Anand

CoRR, 2023

Learning About Progress From Experts.

Jake Bruce, Ankit Anand, Bogdan Mazoure, Rob Fergus

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Contrastive Value Learning: Implicit Models for Simple Offline RL.

Bogdan Mazoure, Benjamin Eysenbach, Ofir Nachum, Jonathan Tompson

Proceedings of the Conference on Robot Learning, 2023

2022

Low-Rank Representation of Reinforcement Learning Policies.

Bogdan Mazoure, Thang Doan, Tianyu Li, Vladimir Makarenkov, Joelle Pineau, Doina Precup, Guillaume Rabusseau

J. Artif. Intell. Res., 2022

Sequential Density Estimation via NCWFAs Sequential Density Estimation via Nonlinear Continuous Weighted Finite Automata.

Tianyu Li, Bogdan Mazoure, Guillaume Rabusseau

CoRR, 2022

The Sandbox Environment for Generalizable Agent Research (SEGAR).

R. Devon Hjelm, Bogdan Mazoure, Florian Golemo, Felipe Frujeri, Mihai Jalobeanu, Andrey Kolobov

CoRR, 2022

Improving Zero-Shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions.

Bogdan Mazoure, Ilya Kostrikov, Ofir Nachum, Jonathan Tompson

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL.

Bogdan Mazoure, Ahmed M. Ahmed, R. Devon Hjelm, Andrey Kolobov, Patrick MacAlpine

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Learning Gaussian Graphical Models With Ordered Weighted $\ell _1$ Regularization.

Cody Mazza-Anthony, Bogdan Mazoure, Mark Coates

IEEE Trans. Signal Process., 2021

Improving Long-Term Metrics in Recommendation Systems using Short-Horizon Offline RL.

Bogdan Mazoure, Paul Mineiro, Pavithra Srinath, Reza Sharifi Sedeh, Doina Precup, Adith Swaminathan

CoRR, 2021

Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning.

Moloud Abdar, Maryam Samami, Sajjad Dehghani Mahmoodabad, Thang Doan, Bogdan Mazoure, Reza Hashemifesharaki, Li Liu, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi

Comput. Biol. Medicine, 2021

A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix.

Thang Doan, Mehdi Abbana Bennani, Bogdan Mazoure, Guillaume Rabusseau, Pierre Alquier

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Provably efficient reconstruction of policy networks.

Bogdan Mazoure, Thang Doan, Tianyu Li, Vladimir Makarenkov, Joelle Pineau, Doina Precup, Guillaume Rabusseau

CoRR, 2020

Deep Reinforcement and InfoMax Learning.

Bogdan Mazoure, Remi Tachet des Combes, Thang Doan, Philip Bachman, R. Devon Hjelm

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning.

Tianyu Li, Bogdan Mazoure, Doina Precup, Guillaume Rabusseau

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Attraction-Repulsion Actor-Critic for Continuous Control Reinforcement Learning.

Thang Doan, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm

CoRR, 2019

Learning Gaussian Graphical Models with Ordered Weighted L1 Regularization.

Cody Mazza-Anthony, Bogdan Mazoure, Mark Coates

CoRR, 2019

An intelligent shopping list based on the application of partitioning and machine learning algorithms.

Nadia Tahiri, Bogdan Mazoure, Vladimir Makarenkov

Proceedings of the 18th Python in Science Conference 2019 (SciPy 2019), Austin, Texas, July 8, 2019

Exploring Attention Mechanism for Acoustic-based Classification of Speech Utterances into System-directed and Non-system-directed.

Atta Norouzian, Bogdan Mazoure, Dermot Connolly, Daniel Willett

Proceedings of the IEEE International Conference on Acoustics, 2019

Leveraging exploration in off-policy algorithms via normalizing flows.

Bogdan Mazoure, Thang Doan, Audrey Durand, Joelle Pineau, R. Devon Hjelm

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

On-Line Adaptative Curriculum Learning for GANs.

Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Online Adaptative Curriculum Learning for GANs.

Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm

CoRR, 2018

GAN Q-learning.

Thang Doan, Bogdan Mazoure, Clare Lyle

CoRR, 2018

EmojiGAN: learning emojis distributions with a generative model.

Bogdan Mazoure, Thang Doan, Saibal Ray

Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, 2018

2017

Alpha-Divergences in Variational Dropout.

Bogdan Mazoure, Riashat Islam

CoRR, 2017

Detecting and removing multiplicative spatial bias in high-throughput screening technologies.

Iurie Caraus, Bogdan Mazoure, Robert Nadon, Vladimir Makarenkov

Bioinform., 2017