Meta Reinforcement Learning with Finite Training Tasks - a Density Estimation Approach. - Zohar Rimon; Aviv Tamar; Gilad Adler (NeurIPS, 2022)

NeRN: Learning Neural Representations for Neural Networks. - Maor Ashkenazi; Zohar Rimon; Ron Vainshtein; Shir Levi; Elad Richardson; Pinchas Mintz; Eran Treister (ICLR, 2023)

MAMBA: an Effective World Model Approach for Meta-Reinforcement Learning. - Zohar Rimon; Tom Jurgenson; Orr Krupnik; Gilad Adler; Aviv Tamar (ICLR, 2024)

Task Tokens: A Flexible Approach to Adapting Behavior Foundation Models. - Ron Vainshtein; Zohar Rimon; Shie Mannor; Chen Tessler (CoRR, 2025)