JO
Johan Obando-Ceron
cs.LGcs.AIcs.CLcs.CVcs.ROcs.DCcs.SEstat.ML
On Valency
published · living versionsW_8ujrvbgj·v1 · currentpublished
Freeze, Don't Clone: Fine-Tuning with Expressive Policies Without Retaining Offline Data
with Sami Nur Islam, Doina Precup, Aaron Courville, Pablo Samuel Castro
1 version
W_28wyh79f·v1published
Preprints & journals
38 papers in the corpus · 2019–2026Towards Continual Learning: Mitigating Forgetting With Subspace Tuning2610.22293v1 · Arnav Chavan, Kusha Sareen, Rishabh Tiwari et al.2026 · 0 citationsarXiv
Temporal Recurrence Favors Fewer Layers2609.12531v1 · Ivan Anokhin, Johan Obando-Ceron, Irina Rish et al.2026 · 0 citationsarXivon Valency
V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control2608.07870v1 · Donghu Kim, Youngdo Lee, Hojoon Lee et al.2026 · 0 citationsarXiv
Representation Learning Enables Scalable Multitask Deep Reinforcement Learning2606.05555v1 · Johan Obando-Ceron, Lu Li, Scott Fujimoto et al.2026 · 0 citationsarXiv
Local Guidance, Global Impact: Gaussian-Reshaped Trust Region Unlocks Behavior Transitions2606.03382v2 · Bingxu Liu, Jiashun Liu, Johan Obando-Ceron et al.2026 · 0 citationsarXiv
Do Enterprise Systems Need Learned World Models? The Importance of Context to Infer Dynamics2605.12178v1 · Jishnu Sethumadhavan Nair, Patrice Bechard, Rishabh Maheshwary et al.2026 · 0 citationsarXiv
A Mechanistic Analysis of Looped Reasoning Language Models2604.11791v1 · Hugh Blayney, 'Alvaro Arroyo, Johan Obando-Ceron et al.2026 · 0 citationsarXiv
Stable Deep Reinforcement Learning via Isotropic Gaussian Representations2602.19373v3 · Ali Saheb Pasand, Johan Obando-Ceron, Aaron Courville et al.2026 · 0 citationsarXiv
A Comedy of Estimators: On KL Regularization in RL Training of LLMs2512.21852v4 · Vedant Shah, Johan Obando-Ceron, Vineet Jain et al.2025 · 0 citationsarXiv
Grounding Computer Use Agents on Human Demonstrations2511.07332v2 · Aarash Feizi, Shravan Nayak, Xiangru Jian et al.2025 · 1 citationarXiv
Evaluating In Silico Creativity: An Expert Review of AI Chess Compositions2510.23772v1 · Vivek Veeriah, Federico Barbero, Marcus Chiam et al.2025 · 0 citationsarXiv
Generating Creative Chess Puzzles2510.23881v1 · Xidong Feng, Vivek Veeriah, Marcus Chiam et al.2025 · 0 citationsarXiv
Simplicial Embeddings Improve Sample Efficiency in Actor-Critic Agents2510.13704v2 · Johan Obando-Ceron, Walter Mayor, Samuel Lavoie et al.2025 · 0 citationsarXiv
Asymmetric Proximal Policy Optimization: mini-critics boost LLM reasoning2510.01656v3 · Jiashun Liu, Johan Obando-Ceron, Han Lu et al.2025 · 0 citationsarXiv
Recursive Self-Aggregation Unlocks Deep Thinking in Large Language Models2509.26626v2 · Siddarth Venkatraman, Vineet Jain, Sarthak Mittal et al.2025 · 0 citationsarXiv
Part I: Tricks or Traps? A Deep Dive into RL for LLM Reasoning2508.08221v3 · Zihe Liu, Jiashun Liu, Yancheng He et al.2025 · 0 citationsarXiv
Stable Gradients for Stable Learning at Scale in Deep Reinforcement Learning2506.15544v2 · Roger Creus Castanyer, Johan Obando-Ceron, Lu Li et al.2025 · 0 citationsarXiv
The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning2506.13672v1 · Jiashun Liu, Johan Obando-Ceron, Pablo Samuel Castro et al.2025 · 0 citationsarXiv
The Impact of On-Policy Parallelized Data Collection on Deep Reinforcement Learning Networks2506.03404v1 · Walter Mayor, Johan Obando-Ceron, Aaron Courville et al.2025 · 0 citationsarXiv
Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn2506.00592v1 · Hongyao Tang, Johan Obando-Ceron, Pablo Samuel Castro et al.2025 · 0 citationsarXiv
Measure gradients, not activations! Enhancing neuronal activity in deep reinforcement learning2505.24061v2 · Jiashun Liu, Zihao Wu, Johan Obando-Ceron et al.2025 · 1 citationarXiv
Adaptive Computation Pruning for the Forgetting Transformer2504.06949v2 · Zhixuan Lin, Johan Obando-Ceron, Xu Owen He et al.2025 · 0 citationsarXiv
Kaleidoscope: In-language Exams for Massively Multilingual Vision Evaluation2504.07072v2 · Israfel Salazar, Manuel Fern'andez Burda, Shayekh Bin Islam et al.2025 · 0 citationsarXiv
Trajectory Balance with Asynchrony: Decoupling Exploration and Learning for Fast, Scalable LLM Post-Training2503.18929v2 · Brian Bartoldson, Siddarth Venkatraman, James Diffenderfer et al.2025 · 0 citationsarXiv
All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages2411.16508v4 · Ashmal Vayani, Dinura Dissanayake, Hasindri Watawana et al.2024 · 10 citationsarXiv
Neuroplastic Expansion in Deep Reinforcement Learning2410.07994v3 · Jiashun Liu, Johan Obando-Ceron, Aaron Courville et al.2024 · 1 citationarXiv
Don't flatten, tokenize! Unlocking the key to SoftMoE's efficacy in deep RL2410.01930v2 · Ghada Sokar, Johan Obando-Ceron, Aaron Courville et al.2024 · 0 citationsarXiv
Mixture of Experts in a Mixture of RL settings2406.18420v1 · Timon Willi, Johan Obando-Ceron, Jakob Foerster et al.2024 · 1 citationarXiv
On the consistency of hyper-parameter selection in value-based deep reinforcement learning2406.17523v3 · Johan Obando-Ceron, Joao G.M. Ara'ujo, Aaron Courville et al.2024 · 0 citationsarXiv
In value-based deep reinforcement learning, a pruned network is a good network2402.12479v3 · Johan Obando-Ceron, Aaron Courville, Pablo Samuel Castro2024 · 0 citationsarXiv
Mixtures of Experts Unlock Parameter Scaling for Deep RL2402.08609v3 · Johan Obando-Ceron, Ghada Sokar, Timon Willi et al.2024 · 4 citationsarXiv
Small batch deep reinforcement learning2310.03882v1 · Johan Obando-Ceron, Marc G. Bellemare, Pablo Samuel Castro2023 · 5 citationsarXiv
Probabilistic Multimodal Depth Estimation Based on Camera-LiDAR Sensor Fusion2307.10519v1 · Johan S. Obando-Ceron, Victor Romero-Cano, Sildomar Monteiro2023 · 0 citationsMachine Vision and Applications journal, 2023
Bigger, Better, Faster: Human-level Atari with human-level efficiency2305.19452v3 · Max Schwarzer, Johan Obando-Ceron, Aaron Courville et al.2023 · 9 citationsarXiv
JaxPruner: A concise library for sparsity research2304.14082v3 · Joo Hyung Lee, Wonpyo Park, Nicole Mitchell et al.2023 · 1 citationarXiv
Revisiting Rainbow: Promoting more Insightful and Inclusive Deep Reinforcement Learning Research2011.14826v2 · Johan S. Obando-Ceron, Pablo Samuel Castro2020 · 53 citationsarXiv
Exploiting the potential of deep reinforcement learning for classification tasks in high-dimensional and unstructured data1912.09595v1 · Johan S. Obando-Ceron, Victor Romero Cano, Walter Mayor Toro2019 · 1 citationarXiv
Divide and Conquer: an Accurate Machine Learning Algorithm to Process Split Videos on a Parallel Processing Infrastructure1912.09601v1 · Walter M. Mayor Toro, Juan C. Perafan Villota, Oscar H. Mondragon et al.2019 · 3 citationsarXiv
Career total: 49 works. 38 are in this corpus.
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