Bogdan Mazoure

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 39

Top Topics

Reinforcement Learning

Diffusion Models

Similarity Values

Kullback Leibler

Top Venues

Publications

Tudor Cristea-Platon, Bogdan Mazoure, Josh Susskind, Walter Talbott
On the benefits of pixel-based hierarchical policies for task generalization. CoRR (2024)
Andrew Szot, Max Schwarzer, Harsh Agrawal, Bogdan Mazoure, Rin Metcalf, Walter Talbott, Natalie Mackraz, R. Devon Hjelm, Alexander T. Toshev
Large Language Models as Generalizable Policies for Embodied Tasks. ICLR (2024)
Andrew Szot, Bogdan Mazoure, Harsh Agrawal, R. Devon Hjelm, Zsolt Kira, Alexander Toshev
Grounding Multimodal Large Language Models in Actions. CoRR (2024)
Jake Bruce, Ankit Anand, Bogdan Mazoure, Rob Fergus
Learning About Progress From Experts. ICLR (2023)
Bogdan Mazoure, Walter Talbott, Miguel Ángel Bautista, R. Devon Hjelm, Alexander Toshev, Joshua M. Susskind
Value function estimation using conditional diffusion models for control. CoRR (2023)
Bogdan Mazoure, Benjamin Eysenbach, Ofir Nachum, Jonathan Tompson
Contrastive Value Learning: Implicit Models for Simple Offline RL. CoRL (2023)
Bogdan Mazoure, Jake Bruce, Doina Precup, Rob Fergus, Ankit Anand
Accelerating exploration and representation learning with offline pre-training. CoRR (2023)
Andrew Szot, Max Schwarzer, Harsh Agrawal, Bogdan Mazoure, Walter Talbott, Katherine Metcalf, Natalie Mackraz, R. Devon Hjelm, Alexander Toshev
Large Language Models as Generalizable Policies for Embodied Tasks. CoRR (2023)
Bogdan Mazoure, Benjamin Eysenbach, Ofir Nachum, Jonathan Tompson
Contrastive Value Learning: Implicit Models for Simple Offline RL. CoRR (2022)
Bogdan Mazoure, Ahmed M Ahmed, R. Devon Hjelm, Andrey Kolobov, Patrick MacAlpine
Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL. ICLR (2022)
Bogdan Mazoure, Thang Doan, Tianyu Li, Vladimir Makarenkov, Joelle Pineau, Doina Precup, Guillaume Rabusseau
Low-Rank Representation of Reinforcement Learning Policies. J. Artif. Intell. Res. 75 (2022)
Tianyu Li, Bogdan Mazoure, Guillaume Rabusseau
Sequential Density Estimation via NCWFAs Sequential Density Estimation via Nonlinear Continuous Weighted Finite Automata. CoRR (2022)
R. Devon Hjelm, Bogdan Mazoure, Florian Golemo, Felipe Frujeri, Mihai Jalobeanu, Andrey Kolobov
The Sandbox Environment for Generalizable Agent Research (SEGAR). CoRR (2022)
Bogdan Mazoure, Ilya Kostrikov, Ofir Nachum, Jonathan Tompson
Improving Zero-Shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions. NeurIPS (2022)
Thang Doan, Mehdi Abbana Bennani, Bogdan Mazoure, Guillaume Rabusseau, Pierre Alquier
A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix. AISTATS (2021)
Bogdan Mazoure, Ilya Kostrikov, Ofir Nachum, Jonathan Tompson
Improving Zero-shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions. CoRR (2021)
Moloud Abdar, Maryam Samami, Sajjad Dehghani Mahmoodabad, Thang Doan, Bogdan Mazoure, Reza Hashemifesharaki, Li Liu, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi
Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning. Comput. Biol. Medicine 135 (2021)
Bogdan Mazoure, Paul Mineiro, Pavithra Srinath, Reza Sharifi Sedeh, Doina Precup, Adith Swaminathan
Improving Long-Term Metrics in Recommendation Systems using Short-Horizon Offline RL. CoRR (2021)
Bogdan Mazoure, Ahmed M. Ahmed, Patrick MacAlpine, R. Devon Hjelm, Andrey Kolobov
Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL. CoRR (2021)
Cody Mazza-Anthony, Bogdan Mazoure, Mark Coates
Learning Gaussian Graphical Models With Ordered Weighted $\ell _1$ Regularization. IEEE Trans. Signal Process. 69 (2021)
Bogdan Mazoure, Remi Tachet des Combes, Thang Doan, Philip Bachman, R. Devon Hjelm
Deep Reinforcement and InfoMax Learning. NeurIPS (2020)
Thang Doan, Mehdi Abbana Bennani, Bogdan Mazoure, Guillaume Rabusseau, Pierre Alquier
A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix. CoRR (2020)
Tianyu Li, Bogdan Mazoure, Doina Precup, Guillaume Rabusseau
Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning. AISTATS (2020)
Bogdan Mazoure, Remi Tachet des Combes, Thang Doan, Philip Bachman, R. Devon Hjelm
Deep Reinforcement and InfoMax Learning. CoRR (2020)
Bogdan Mazoure, Thang Doan, Tianyu Li, Vladimir Makarenkov, Joelle Pineau, Doina Precup, Guillaume Rabusseau
Provably efficient reconstruction of policy networks. CoRR (2020)
Cody Mazza-Anthony, Bogdan Mazoure, Mark Coates
Learning Gaussian Graphical Models with Ordered Weighted L1 Regularization. CoRR (2019)
Bogdan Mazoure, Thang Doan, Audrey Durand, Joelle Pineau, R. Devon Hjelm
Leveraging exploration in off-policy algorithms via normalizing flows. CoRL (2019)
Bogdan Mazoure, Thang Doan, Audrey Durand, R. Devon Hjelm, Joelle Pineau
Leveraging exploration in off-policy algorithms via normalizing flows. CoRR (2019)
Tianyu Li, Bogdan Mazoure, Doina Precup, Guillaume Rabusseau
Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning. CoRR (2019)
Atta Norouzian, Bogdan Mazoure, Dermot Connolly, Daniel Willett
Exploring Attention Mechanism for Acoustic-based Classification of Speech Utterances into System-directed and Non-system-directed. ICASSP (2019)
Atta Norouzian, Bogdan Mazoure, Dermot Connolly, Daniel Willett
Exploring attention mechanism for acoustic-based classification of speech utterances into system-directed and non-system-directed. CoRR (2019)
Nadia Tahiri, Bogdan Mazoure, Vladimir Makarenkov
An intelligent shopping list based on the application of partitioning and machine learning algorithms. SciPy (2019)
Thang Doan, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm
Attraction-Repulsion Actor-Critic for Continuous Control Reinforcement Learning. CoRR (2019)
Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm
On-Line Adaptative Curriculum Learning for GANs. AAAI (2019)
Thang Doan, Bogdan Mazoure, Clare Lyle
GAN Q-learning. CoRR (2018)
Bogdan Mazoure, Thang Doan, Saibal Ray
EmojiGAN: learning emojis distributions with a generative model. WASSA@EMNLP (2018)
Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm
Online Adaptative Curriculum Learning for GANs. CoRR (2018)
Bogdan Mazoure, Riashat Islam
Alpha-Divergences in Variational Dropout. CoRR (2017)
Iurie Caraus, Bogdan Mazoure, Robert Nadon, Vladimir Makarenkov
Detecting and removing multiplicative spatial bias in high-throughput screening technologies. Bioinform. 33 (20) (2017)