Bogdan Mazoure

47 papers A* 9A 2Misc 3Journal 31Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ClustRecNet: A Novel End-to-End Deep Learning Framework for Clustering Algorithm Recommendation. CoRR Mohammadreza Bakhtyari, Bogdan Mazoure, Renato Cordeiro de Amorim, Guillaume Rabusseau, Vladimir Makarenkov
2025	A*	`conf`	From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons. CVPR Andrew Szot, Bogdan Mazoure, Omar Attia, Aleksei Timofeev, Harsh Agrawal, R. Devon Hjelm, Zhe Gan, Zsolt Kira, Alexander Toshev
2025	J	`jnl`	GRACE: A Language Model Framework for Explainable Inverse Reinforcement Learning. CoRR Silvia Sapora, R. Devon Hjelm, Alexander Toshev, Omar Attia, Bogdan Mazoure
2025	A*	`conf`	On the Modeling Capabilities of Large Language Models for Sequential Decision Making. ICLR Martin Klissarov, R. Devon Hjelm, Alexander T. Toshev, Bogdan Mazoure
2025	J	`jnl`	Scaling Synthetic Task Generation for Agents via Exploration. CoRR Ram Ramrakhya, Andrew Szot, Omar Attia, Yuhao Yang, Anh Nguyen, Bogdan Mazoure, Zhe Gan, Harsh Agrawal, Alexander Toshev
2024	J	`jnl`	From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons. CoRR Andrew Szot, Bogdan Mazoure, Omar Attia, Aleksei Timofeev, Harsh Agrawal, R. Devon Hjelm, Zhe Gan, Zsolt Kira, Alexander Toshev
2024	A*	`conf`	Grounding Multimodal Large Language Models in Actions. NeurIPS Andrew Szot, Bogdan Mazoure, Harsh Agrawal, R. Devon Hjelm, Zsolt Kira, Alexander Toshev
2024	J	`jnl`	Grounding Multimodal Large Language Models in Actions. CoRR Andrew Szot, Bogdan Mazoure, Harsh Agrawal, R. Devon Hjelm, Zsolt Kira, Alexander Toshev
2024	A*	`conf`	Large Language Models as Generalizable Policies for Embodied Tasks. ICLR Andrew Szot, Max Schwarzer, Harsh Agrawal, Bogdan Mazoure, Rin Metcalf, Walter Talbott, Natalie Mackraz, R. Devon Hjelm, Alexander T. Toshev
2024	J	`jnl`	On the Modeling Capabilities of Large Language Models for Sequential Decision Making. CoRR Martin Klissarov, R. Devon Hjelm, Alexander Toshev, Bogdan Mazoure
2024	J	`jnl`	On the benefits of pixel-based hierarchical policies for task generalization. CoRR Tudor Cristea-Platon, Bogdan Mazoure, Josh Susskind, Walter Talbott
2023	J	`jnl`	Accelerating exploration and representation learning with offline pre-training. CoRR Bogdan Mazoure, Jake Bruce, Doina Precup, Rob Fergus, Ankit Anand
2023	Misc	`conf`	Contrastive Value Learning: Implicit Models for Simple Offline RL. CoRL Bogdan Mazoure, Benjamin Eysenbach, Ofir Nachum, Jonathan Tompson
2023	J	`jnl`	Large Language Models as Generalizable Policies for Embodied Tasks. CoRR Andrew Szot, Max Schwarzer, Harsh Agrawal, Bogdan Mazoure, Walter Talbott, Katherine Metcalf, Natalie Mackraz, R. Devon Hjelm, Alexander Toshev
2023	A*	`conf`	Learning About Progress From Experts. ICLR Jake Bruce, Ankit Anand, Bogdan Mazoure, Rob Fergus
2023	J	`jnl`	Value function estimation using conditional diffusion models for control. CoRR Bogdan Mazoure, Walter Talbott, Miguel Ángel Bautista, R. Devon Hjelm, Alexander Toshev, Joshua M. Susskind
2022	J	`jnl`	Contrastive Value Learning: Implicit Models for Simple Offline RL. CoRR Bogdan Mazoure, Benjamin Eysenbach, Ofir Nachum, Jonathan Tompson
2022	A*	`conf`	Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL. ICLR Bogdan Mazoure, Ahmed M. Ahmed, R. Devon Hjelm, Andrey Kolobov, Patrick MacAlpine
2022	A*	`conf`	Improving Zero-Shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions. NeurIPS Bogdan Mazoure, Ilya Kostrikov, Ofir Nachum, Jonathan Tompson
2022	J	`jnl`	Low-Rank Representation of Reinforcement Learning Policies. J. Artif. Intell. Res. Bogdan Mazoure, Thang Doan, Tianyu Li, Vladimir Makarenkov, Joelle Pineau, Doina Precup, Guillaume Rabusseau
2022	J	`jnl`	Sequential Density Estimation via NCWFAs Sequential Density Estimation via Nonlinear Continuous Weighted Finite Automata. CoRR Tianyu Li, Bogdan Mazoure, Guillaume Rabusseau
2022	J	`jnl`	The Sandbox Environment for Generalizable Agent Research (SEGAR). CoRR R. Devon Hjelm, Bogdan Mazoure, Florian Golemo, Felipe Frujeri, Mihai Jalobeanu, Andrey Kolobov
2021	A	`conf`	A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix. AISTATS Thang Doan, Mehdi Abbana Bennani, Bogdan Mazoure, Guillaume Rabusseau, Pierre Alquier
2021	J	`jnl`	Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL. CoRR Bogdan Mazoure, Ahmed M. Ahmed, Patrick MacAlpine, R. Devon Hjelm, Andrey Kolobov
2021	J	`jnl`	Improving Long-Term Metrics in Recommendation Systems using Short-Horizon Offline RL. CoRR Bogdan Mazoure, Paul Mineiro, Pavithra Srinath, Reza Sharifi Sedeh, Doina Precup, Adith Swaminathan
2021	J	`jnl`	Improving Zero-shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions. CoRR Bogdan Mazoure, Ilya Kostrikov, Ofir Nachum, Jonathan Tompson
2021	J	`jnl`	Learning Gaussian Graphical Models With Ordered Weighted $\ell _1$ Regularization. IEEE Trans. Signal Process. Cody Mazza-Anthony, Bogdan Mazoure, Mark Coates
2021	J	`jnl`	Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning. Comput. Biol. Medicine Moloud Abdar, Maryam Samami, Sajjad Dehghani Mahmoodabad, Thang Doan, Bogdan Mazoure, Reza Hashemifesharaki, Li Liu, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi
2020	J	`jnl`	A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix. CoRR Thang Doan, Mehdi Abbana Bennani, Bogdan Mazoure, Guillaume Rabusseau, Pierre Alquier
2020	A*	`conf`	Deep Reinforcement and InfoMax Learning. NeurIPS Bogdan Mazoure, Remi Tachet des Combes, Thang Doan, Philip Bachman, R. Devon Hjelm
2020	J	`jnl`	Deep Reinforcement and InfoMax Learning. CoRR Bogdan Mazoure, Remi Tachet des Combes, Thang Doan, Philip Bachman, R. Devon Hjelm
2020	A	`conf`	Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning. AISTATS Tianyu Li, Bogdan Mazoure, Doina Precup, Guillaume Rabusseau
2020	J	`jnl`	Provably efficient reconstruction of policy networks. CoRR Bogdan Mazoure, Thang Doan, Tianyu Li, Vladimir Makarenkov, Joelle Pineau, Doina Precup, Guillaume Rabusseau
2019	—	`conf`	An intelligent shopping list based on the application of partitioning and machine learning algorithms. SciPy Nadia Tahiri, Bogdan Mazoure, Vladimir Makarenkov
2019	J	`jnl`	Attraction-Repulsion Actor-Critic for Continuous Control Reinforcement Learning. CoRR Thang Doan, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm
2019	J	`jnl`	Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning. CoRR Tianyu Li, Bogdan Mazoure, Doina Precup, Guillaume Rabusseau
2019	Misc	`conf`	Exploring Attention Mechanism for Acoustic-based Classification of Speech Utterances into System-directed and Non-system-directed. ICASSP Atta Norouzian, Bogdan Mazoure, Dermot Connolly, Daniel Willett
2019	J	`jnl`	Exploring attention mechanism for acoustic-based classification of speech utterances into system-directed and non-system-directed. CoRR Atta Norouzian, Bogdan Mazoure, Dermot Connolly, Daniel Willett
2019	J	`jnl`	Learning Gaussian Graphical Models with Ordered Weighted L1 Regularization. CoRR Cody Mazza-Anthony, Bogdan Mazoure, Mark Coates
2019	Misc	`conf`	Leveraging exploration in off-policy algorithms via normalizing flows. CoRL Bogdan Mazoure, Thang Doan, Audrey Durand, Joelle Pineau, R. Devon Hjelm
2019	J	`jnl`	Leveraging exploration in off-policy algorithms via normalizing flows. CoRR Bogdan Mazoure, Thang Doan, Audrey Durand, R. Devon Hjelm, Joelle Pineau
2019	A*	`conf`	On-Line Adaptative Curriculum Learning for GANs. AAAI Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm
2018	—	`conf`	EmojiGAN: learning emojis distributions with a generative model. WASSA@EMNLP Bogdan Mazoure, Thang Doan, Saibal Ray
2018	J	`jnl`	GAN Q-learning. CoRR Thang Doan, Bogdan Mazoure, Clare Lyle
2018	J	`jnl`	Online Adaptative Curriculum Learning for GANs. CoRR Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm
2017	J	`jnl`	Alpha-Divergences in Variational Dropout. CoRR Bogdan Mazoure, Riashat Islam
2017	J	`jnl`	Detecting and removing multiplicative spatial bias in high-throughput screening technologies. Bioinform. Iurie Caraus, Bogdan Mazoure, Robert Nadon, Vladimir Makarenkov