5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2022
Robust Losses for Learning Value Functions
Andrew Patterson, Victor Liao, Martha White
Most value function learning algorithms in reinforcement learning are based on the mean squared (projected) Bellman error. However, squared errors are known to be sensitive to outl…
cs.LG2022★ 5 cited
Value Gradient weighted Model-Based Reinforcement Learning
Claas Voelcker, Victor Liao, Animesh Garg +1
Model-based reinforcement learning (MBRL) is a sample efficient technique to obtain control policies, yet unavoidable modeling errors often lead performance deterioration. The mode…