Johan Obando-Ceron

4 papers · 2025–2025 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11) 👥 Mega-Team · Legion

Venues

ICML (3) CVPR (1)

Top co-authors

Aaron Courville (3) Pablo Samuel Castro (3) Rao Muhammad Anwer (1) Thao Nguyen (1) Amrin Kareem (1) Rohit Gupta (1) Olympiah Otieno (1) Ashay Srivastava (1) Naman Bhatia (1) Mahardika Krisna Ihsani (1)

Research topics

Reinforcement Learning (3) Methods (3) Machine Learning (2) Applications (2) Optimization & Theory (2) Artificial Intelligence (1) Deep Learning (1) Natural Language Processing (1) Core AI (1) Learning Types (1) Models (1) Resources & Methods (1)

Keywords

plasticity (2) benchmark evaluation (1) multilingual nlp (1) multimodal learning (1) visual reasoning (1) low-resource language (1) large multimodal model (1) replay buffer (1) cultural diversity (1) step size (1) learning efficiency (1) data collection (1) hyperparameter sensitivity (1) multilingual multimodal (1) episode termination (1) rank collapse (1) q-value (1) scaling (1) parallel actors (1) ppo (1)

Papers

All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages CVPR 2025 Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn ICML 2025 The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning ICML 2025 The Impact of On-Policy Parallelized Data Collection on Deep Reinforcement Learning Networks ICML 2025