Johan S. Obando-Ceron

According to our database1, Johan S. Obando-Ceron authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Mixture of Experts in a Mixture of RL settings.
CoRR, 2024

On the consistency of hyper-parameter selection in value-based deep reinforcement learning.
CoRR, 2024

In deep reinforcement learning, a pruned network is a good network.
CoRR, 2024

Mixtures of Experts Unlock Parameter Scaling for Deep RL.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

In value-based deep reinforcement learning, a pruned network is a good network.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Probabilistic Multimodal Depth Estimation Based on Camera-LiDAR Sensor Fusion.
CoRR, 2023

JaxPruner: A concise library for sparsity research.
CoRR, 2023

Small batch deep reinforcement learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Bigger, Better, Faster: Human-level Atari with human-level efficiency.
Proceedings of the International Conference on Machine Learning, 2023

The Small Batch Size Anomaly in Multistep Deep Reinforcement Learning.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2021
Revisiting Rainbow: Promoting more insightful and inclusive deep reinforcement learning research.
Proceedings of the 38th International Conference on Machine Learning, 2021

2019
Divide and Conquer: an Accurate Machine Learning Algorithm to Process Split Videos on a Parallel Processing Infrastructure.
CoRR, 2019

Exploiting the potential of deep reinforcement learning for classification tasks in high-dimensional and unstructured data.
CoRR, 2019


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