137 citations · 527 across the 41 of their papers we have counts for
3 papers · 1 filter
A Self-Tuning Actor-Critic Algorithm
Tom Zahavy, Zhongwen Xu, Vivek Veeriah +5
Reinforcement learning algorithms are highly sensitive to the choice of hyperparameters, typically requiring significant manual effort to identify hyperparameters that perform well…
Train on Validation: Squeezing the Data Lemon
Guy Tennenholtz, Tom Zahavy, Shie Mannor
Model selection on validation data is an essential step in machine learning. While the mixing of data between training and validation is considered taboo, practitioners often viola…
Visualizing Dynamics: from t-SNE to SEMI-MDPs
Nir Ben Zrihem, Tom Zahavy, Shie Mannor
Deep Reinforcement Learning (DRL) is a trending field of research, showing great promise in many challenging problems such as playing Atari, solving Go and controlling robots. Whil…