3 citations · 4 across the 3 of their papers we have counts for
3 papers
Mixture of Experts in a Mixture of RL settings
Timon Willi, Johan Obando-Ceron, Jakob Foerster +2
Mixtures of Experts (MoEs) have gained prominence in (self-)supervised learning due to their enhanced inference efficiency, adaptability to distributed training, and modularity. Pr…
Small batch deep reinforcement learning
Johan Obando-Ceron, Marc G. Bellemare, Pablo Samuel Castro
In value-based deep reinforcement learning with replay memories, the batch size parameter specifies how many transitions to sample for each gradient update. Although critical to th…
Probabilistic Multimodal Depth Estimation Based on Camera-LiDAR Sensor Fusion
Johan S. Obando-Ceron, Victor Romero-Cano, Sildomar Monteiro
Multi-modal depth estimation is one of the key challenges for endowing autonomous machines with robust robotic perception capabilities. There have been outstanding advances in the…