Offline Meta Reinforcement Learning. - Ron Dorfman; Aviv Tamar (CoRR, 2020)

Offline Meta Reinforcement Learning - Identifiability Challenges and Effective Data Collection Strategies. - Ron Dorfman; Idan Shenfeld; Aviv Tamar (NeurIPS, 2021)

Adapting to Mixing Time in Stochastic Optimization with Markovian Data. - Ron Dorfman; Kfir Yehuda Levy (ICML, 2022)

DoCoFL: Downlink Compression for Cross-Device Federated Learning. - Ron Dorfman; Shay Vargaftik; Yaniv Ben-Itzhak; Kfir Yehuda Levy (ICML, 2023)

Dynamic Byzantine-Robust Learning: Adapting to Switching Byzantine Workers. - Ron Dorfman; Naseem Yehya; Kfir Yehuda Levy (ICML, 2024)

Enhancing Parallelism in Decentralized Stochastic Convex Optimization. - Ofri Eisen; Ron Dorfman; Kfir Y. Levy (CoRR, 2025)