Bogdan Mazoure
14 papers · 2018–2025 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (35) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Evolution
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Keyword Pioneer
π
Trend Setter
π
Century Club Β· Bronze
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Unstoppable Β· Bronze
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Renaissance Researcher
(5)
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Conference Pioneer
ποΈ
Keyword Collector
(76)
Top co-authors
Research topics
Machine Learning
(10)
Artificial Intelligence
(8)
Learning Types Β· Machine Learning
(8)
Core AI
(6)
Deep Learning
(5)
Reinforcement Learning
(5)
Methods
(5)
Models
(4)
Learning Paradigms
(3)
Learning Types Β· Deep Learning
(3)
Natural Language Processing
(2)
Optimization & Theory
(2)
Computer Vision
(1)
Robotics
(1)
Applications
(1)
Keywords
reinforcement learning
(6)
self-supervised learning
(2)
generative adversarial network
(2)
large language model
(2)
embodied ai
(2)
contrastive learning
(2)
multimodal large language model
(2)
zero-shot generalization
(2)
representation learning
(2)
offline reinforcement learning
(2)
continual learning
(2)
style transfer
(1)
catastrophic forgetting
(1)
curriculum learning
(1)
policy gradient
(1)
principal component analysis
(1)
neural tangent kernel
(1)
visual navigation
(1)
image generation
(1)
policy learning
(1)
Papers
From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons
CVPR 2025
On the Modeling Capabilities of Large Language Models for Sequential Decision Making
ICLR 2025
Grounding Multimodal Large Language Models in Actions
NeurIPS 2024
Large Language Models as Generalizable Policies for Embodied Tasks
ICLR 2024
Contrastive Value Learning: Implicit Models for Simple Offline RL
CoRL 2023
Learning About Progress From Experts
ICLR 2023
Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL
ICLR 2022
Improving Zero-Shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions
NeurIPS 2022
A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix
AISTATS 2021
Deep Reinforcement and InfoMax Learning
NeurIPS 2020
Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning
AISTATS 2020
Leveraging exploration in off-policy algorithms via normalizing flows
CoRL 2019
On-Line Adaptative Curriculum Learning for GANs
AAAI 2019
EmojiGAN: learning emojis distributions with a generative model
EMNLP 2018