Safe Policy Learning from Observations. - Elad Sarafian; Aviv Tamar; Sarit Kraus (CoRR, 2018)

Explicit Gradient Learning for Black-Box Optimization. - Elad Sarafian; Mor Sinay; Yoram Louzoun; Noa Agmon; Sarit Kraus (ICML, 2020)

Constrained Policy Improvement for Efficient Reinforcement Learning. - Elad Sarafian; Aviv Tamar; Sarit Kraus (IJCAI, 2020)

Explicit Gradient Learning. - Mor Sinay; Elad Sarafian; Yoram Louzoun; Noa Agmon; Sarit Kraus (CoRR, 2020)

Recomposing the Reinforcement Learning Building Blocks with Hypernetworks. - Elad Sarafian; Shai Keynan; Sarit Kraus (ICML, 2021)

A Domain Adaptation Approach for Performance Estimation of Spatial Predictions. - Ron Sarafian; Itai Kloog; Elad Sarafian; Ian Hough; Jonathan D. Rosenblatt (IEEE Trans. Geosci. Remote. Sens., 2021)

Analyzing and Overcoming Degradation in Warm-Start Reinforcement Learning. - Benjamin Wexler; Elad Sarafian; Sarit Kraus (IROS, 2022)

A Coupled Flow Approach to Imitation Learning. - Gideon Joseph Freund; Elad Sarafian; Sarit Kraus (ICML, 2023)

Optimistic Gradient Learning with Hessian Corrections for High-Dimensional Black-Box Optimization. - Yedidya Kfir; Elad Sarafian; Sarit Kraus; Yoram Louzoun (CoRR, 2025)