7 citations · 7 across the 3 of their papers we have counts for
3 papers
stat.ML2022
Conditionally Risk-Averse Contextual Bandits
Mónika Farsang, Paul Mineiro, Wangda Zhang
Contextual bandits with average-case statistical guarantees are inadequate in risk-averse situations because they might trade off degraded worst-case behaviour for better average p…
cs.LG2021★ 7 cited
Decaying Clipping Range in Proximal Policy Optimization
Mónika Farsang, Luca Szegletes
Proximal Policy Optimization (PPO) is among the most widely used algorithms in reinforcement learning, which achieves state-of-the-art performance in many challenging problems. The…
cs.LG2021
Importance of Environment Design in Reinforcement Learning: A Study of a Robotic Environment
Mónika Farsang, Luca Szegletes
An in-depth understanding of the particular environment is crucial in reinforcement learning (RL). To address this challenge, the decision-making process of a mobile collaborative…