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cs.LG2024
Personalized Reinforcement Learning with a Budget of Policies
Dmitry Ivanov, Omer Ben-Porat
Personalization in machine learning (ML) tailors models' decisions to the individual characteristics of users. While this approach has seen success in areas like recommender system…
cs.LG2022
Neural Network Optimization for Reinforcement Learning Tasks Using Sparse Computations
Dmitry Ivanov, Mikhail Kiselev, Denis Larionov
This article proposes a sparse computation-based method for optimizing neural networks for reinforcement learning (RL) tasks. This method combines two ideas: neural network pruning…