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Bogdan Mazoure
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2020 – today
- 2024
- [c13]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 - [i21]Andrew Szot, Bogdan Mazoure, Harsh Agrawal, R. Devon Hjelm, Zsolt Kira, Alexander Toshev:
Grounding Multimodal Large Language Models in Actions. CoRR abs/2406.07904 (2024) - 2023
- [c12]Bogdan Mazoure, Benjamin Eysenbach, Ofir Nachum, Jonathan Tompson:
Contrastive Value Learning: Implicit Models for Simple Offline RL. CoRL 2023: 1257-1267 - [c11]Jake Bruce, Ankit Anand, Bogdan Mazoure, Rob Fergus:
Learning About Progress From Experts. ICLR 2023 - [i20]Bogdan Mazoure, Jake Bruce, Doina Precup, Rob Fergus, Ankit Anand:
Accelerating exploration and representation learning with offline pre-training. CoRR abs/2304.00046 (2023) - [i19]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 abs/2306.07290 (2023) - [i18]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 abs/2310.17722 (2023) - 2022
- [j4]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: 597-636 (2022) - [c10]Bogdan Mazoure, Ahmed M. Ahmed, R. Devon Hjelm, Andrey Kolobov, Patrick MacAlpine:
Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL. ICLR 2022 - [c9]Bogdan Mazoure, Ilya Kostrikov, Ofir Nachum, Jonathan Tompson:
Improving Zero-Shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions. NeurIPS 2022 - [i17]R. Devon Hjelm, Bogdan Mazoure, Florian Golemo, Felipe Frujeri, Mihai Jalobeanu, Andrey Kolobov:
The Sandbox Environment for Generalizable Agent Research (SEGAR). CoRR abs/2203.10351 (2022) - [i16]Tianyu Li, Bogdan Mazoure, Guillaume Rabusseau:
Sequential Density Estimation via NCWFAs Sequential Density Estimation via Nonlinear Continuous Weighted Finite Automata. CoRR abs/2206.03923 (2022) - [i15]Bogdan Mazoure, Benjamin Eysenbach, Ofir Nachum, Jonathan Tompson:
Contrastive Value Learning: Implicit Models for Simple Offline RL. CoRR abs/2211.02100 (2022) - 2021
- [j3]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: 104418 (2021) - [j2]Cody Mazza-Anthony
, Bogdan Mazoure, Mark Coates
:
Learning Gaussian Graphical Models With Ordered Weighted $\ell _1$ Regularization. IEEE Trans. Signal Process. 69: 489-499 (2021) - [c8]Thang Doan, Mehdi Abbana Bennani, Bogdan Mazoure, Guillaume Rabusseau, Pierre Alquier:
A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix. AISTATS 2021: 1072-1080 - [i14]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 abs/2106.00589 (2021) - [i13]Bogdan Mazoure, Ahmed M. Ahmed, Patrick MacAlpine, R. Devon Hjelm, Andrey Kolobov:
Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL. CoRR abs/2106.02193 (2021) - [i12]Bogdan Mazoure, Ilya Kostrikov, Ofir Nachum, Jonathan Tompson:
Improving Zero-shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions. CoRR abs/2111.14629 (2021) - 2020
- [c7]Tianyu Li, Bogdan Mazoure, Doina Precup, Guillaume Rabusseau:
Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning. AISTATS 2020: 2852-2862 - [c6]Bogdan Mazoure, Remi Tachet des Combes, Thang Doan, Philip Bachman, R. Devon Hjelm:
Deep Reinforcement and InfoMax Learning. NeurIPS 2020 - [i11]Bogdan Mazoure, Thang Doan, Tianyu Li, Vladimir Makarenkov, Joelle Pineau, Doina Precup, Guillaume Rabusseau:
Provably efficient reconstruction of policy networks. CoRR abs/2002.02863 (2020) - [i10]Bogdan Mazoure, Remi Tachet des Combes, Thang Doan, Philip Bachman, R. Devon Hjelm:
Deep Reinforcement and InfoMax Learning. CoRR abs/2006.07217 (2020) - [i9]Thang Doan, Mehdi Abbana Bennani, Bogdan Mazoure, Guillaume Rabusseau, Pierre Alquier:
A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix. CoRR abs/2010.04003 (2020)
2010 – 2019
- 2019
- [c5]Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm:
On-Line Adaptative Curriculum Learning for GANs. AAAI 2019: 3470-3477 - [c4]Bogdan Mazoure, Thang Doan, Audrey Durand, Joelle Pineau, R. Devon Hjelm:
Leveraging exploration in off-policy algorithms via normalizing flows. CoRL 2019: 430-444 - [c3]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: 7310-7314 - [c2]Nadia Tahiri, Bogdan Mazoure, Vladimir Makarenkov:
An intelligent shopping list based on the application of partitioning and machine learning algorithms. SciPy 2019: 85-92 - [i8]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 abs/1902.00570 (2019) - [i7]Bogdan Mazoure, Thang Doan, Audrey Durand, R. Devon Hjelm, Joelle Pineau:
Leveraging exploration in off-policy algorithms via normalizing flows. CoRR abs/1905.06893 (2019) - [i6]Cody Mazza-Anthony, Bogdan Mazoure, Mark Coates:
Learning Gaussian Graphical Models with Ordered Weighted L1 Regularization. CoRR abs/1906.02719 (2019) - [i5]Thang Doan, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm:
Attraction-Repulsion Actor-Critic for Continuous Control Reinforcement Learning. CoRR abs/1909.07543 (2019) - [i4]Tianyu Li, Bogdan Mazoure, Doina Precup, Guillaume Rabusseau:
Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning. CoRR abs/1911.05010 (2019) - 2018
- [c1]Bogdan Mazoure, Thang Doan, Saibal Ray:
EmojiGAN: learning emojis distributions with a generative model. WASSA@EMNLP 2018: 273-279 - [i3]Thang Doan, Bogdan Mazoure, Clare Lyle:
GAN Q-learning. CoRR abs/1805.04874 (2018) - [i2]Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm:
Online Adaptative Curriculum Learning for GANs. CoRR abs/1808.00020 (2018) - 2017
- [j1]Iurie Caraus, Bogdan Mazoure, Robert Nadon, Vladimir Makarenkov:
Detecting and removing multiplicative spatial bias in high-throughput screening technologies. Bioinform. 33(20): 3258-3267 (2017) - [i1]Bogdan Mazoure, Riashat Islam:
Alpha-Divergences in Variational Dropout. CoRR abs/1711.04345 (2017)
Coauthor Index
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last updated on 2024-08-08 20:16 CEST by the dblp team
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