activity
20212025
most citedUpside-Down Reinforcement Learning Can Diverge in Stochastic Environments With Episodic Resets

1 citations · 2 across the 6 of their papers we have counts for

collaborators
Showing 2021Show all

1 paper · 1 filter

stat.ML2021

Reward-Weighted Regression Converges to a Global Optimum

Miroslav Štrupl, Francesco Faccio, Dylan R. Ashley +2

Reward-Weighted Regression (RWR) belongs to a family of widely known iterative Reinforcement Learning algorithms based on the Expectation-Maximization framework. In this family, le…