4 citations · 4 across the 5 of their papers we have counts for
3 papers · 1 filter
Data-Centric Approach to Constrained Machine Learning: A Case Study on Conway's Game of Life
Anton Bibin, Anton Dereventsov
This paper focuses on a data-centric approach to machine learning applications in the context of Conway's Game of Life. Specifically, we consider the task of training a minimal arc…
Increasing Entropy to Boost Policy Gradient Performance on Personalization Tasks
Andrew Starnes, Anton Dereventsov, Clayton Webster
In this effort, we consider the impact of regularization on the diversity of actions taken by policies generated from reinforcement learning agents trained using a policy gradient.…
On the Unreasonable Efficiency of State Space Clustering in Personalization Tasks
Anton Dereventsov, Ranga Raju Vatsavai, Clayton Webster
In this effort we consider a reinforcement learning (RL) technique for solving personalization tasks with complex reward signals. In particular, our approach is based on state spac…