Robust Reinforcement Learning via Adversarial Kernel Approximation. - Kaixin Wang; Uri Gadot; Navdeep Kumar; Kfir Levy; Shie Mannor (CoRR, 2023)

Solving Non-rectangular Reward-Robust MDPs via Frequency Regularization. - Uri Gadot; Esther Derman; Navdeep Kumar; Maxence Mohamed Elfatihi; Kfir Levy; Shie Mannor (AAAI, 2024)

Learning the Uncertainty Set in Robust Markov Decision Process. - Navdeep Kumar; Kaixin Wang; Uri Gadot; Kfir Yehuda Levy; Shie Mannor (Tiny Papers @ ICLR, 2024)

Bring Your Own (Non-Robust) Algorithm to Solve Robust MDPs by Estimating The Worst Kernel. - Uri Gadot; Kaixin Wang; Navdeep Kumar; Kfir Yehuda Levy; Shie Mannor (ICML, 2024)

RL-RC-DoT: A Block-level RL agent for Task-Aware Video Compression. - Uri Gadot; Assaf Shocher; Shie Mannor; Gal Chechik; Assaf Hallak (CVPR, 2025)

M3: A Modular World Model over Streams of Tokens. - Lior Cohen; Kaixin Wang; Bingyi Kang; Uri Gadot; Shie Mannor (CoRR, 2025)

Policy Optimized Text-to-Image Pipeline Design. - Uri Gadot; Rinon Gal; Yftah Ziser; Gal Chechik; Shie Mannor (CoRR, 2025)

Policy Gradient with Tree Search: Avoiding Local Optimas through Lookahead. - Uri Koren; Navdeep Kumar; Uri Gadot; Giorgia Ramponi; Kfir Yehuda Levy; Shie Mannor (CoRR, 2025)