3 citations · 4 across the 2 of their papers we have counts for
3 papers
Reinforcement Learning with Subspaces using Free Energy Paradigm
Milad Ghorbani, Reshad Hosseini, Seyed Pooya Shariatpanahi +1
In large-scale problems, standard reinforcement learning algorithms suffer from slow learning speed. In this paper, we follow the framework of using subspaces to tackle this proble…
Multi-Representational Learning for Offline Signature Verification using Multi-Loss Snapshot Ensemble of CNNs
Saeed Masoudnia, Omid Mersa, Babak N. Araabi +3
Offline Signature Verification (OSV) is a challenging pattern recognition task, especially in presence of skilled forgeries that are not available during training. This study aims…
Exploiting generalization in the subspaces for faster model-based learning
Maryam Hashemzadeh, Reshad Hosseini, Majid Nili Ahmadabadi
Due to the lack of enough generalization in the state-space, common methods in Reinforcement Learning (RL) suffer from slow learning speed especially in the early learning trials.…