← Authors

Bogdan Mazoure

14 papers · 2018–2025 · 7 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (5) 🐝 Cross-Pollinator (10) πŸ—ΊοΈ Taxonomy Completionist (30) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (7) 🧬 Topic Evolution πŸ—ƒοΈ Keyword Collector (63) πŸ’Ž Century Club (14) πŸ”₯ Unstoppable (8) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer

Conferences

ICLR (4) NIPS (3) AISTATS (2) CORL (2) AAAI (1) CVPR (1) EMNLP (1)

Top co-authors

R Devon Hjelm (5) Thang Doan (4) Harsh Agrawal (3) Andrew Szot (3) Audrey Durand (2) Zsolt Kira (2) Alexander Toshev (2) Ofir Nachum (2) Devon Hjelm (2) Guillaume Rabusseau (2)

Keywords

reinforcement learning (3) generative adversarial network (2) contrastive learning (2) continual learning (2) multimodal large language model (2) offline reinforcement learning (2) catastrophic forgetting (1) style transfer (1) neural tangent kernel (1) principal component analysis (1) value function (1) curriculum learning (1) visual question answering (1) self-supervised learning (1) image generation (1) mutual information (1) social network analysis (1) embodied ai (1) adversarial training (1) sample efficiency (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
Large Language Models as Generalizable Policies for Embodied Tasks ICLR 2024
Grounding Multimodal Large Language Models in Actions NIPS 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 NIPS 2022
A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix AISTATS 2021
Deep Reinforcement and InfoMax Learning NIPS 2020
Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning AISTATS 2020
On-Line Adaptative Curriculum Learning for GANs AAAI 2019
Leveraging exploration in off-policy algorithms via normalizing flows CORL 2019
EmojiGAN: learning emojis distributions with a generative model EMNLP 2018