Setup Planning and Operation Sequencing Using Neural Network and Genetic Algorithm. - Ravinder Singh Joshi; Navdeep Kumar; Anju Sharma (ITNG, 2008)

Deep Learning Approaches for Head and Operculum Segmentation in Zebrafish Microscopy Images. - Navdeep Kumar; Alessio Carletti; Paulo Jorge Gavaia; Marc Muller; M. Leonor Cancela; Pierre Geurts; Raphaël Marée (CAIP (1), 2021)

Empirical Evaluation of Deep Learning Approaches for Landmark Detection in Fish Bioimages. - Navdeep Kumar; Claudia Di Biagio; Zachary Dellacqua; Ratish Raman; Arianna Martini; Clara Boglione; Marc Muller; Pierre Geurts; Raphaël Marée (ECCV Workshops (4), 2022)

The Geometry of Robust Value Functions. - Kaixin Wang; Navdeep Kumar; Kuangqi Zhou; Bryan Hooi; Jiashi Feng; Shie Mannor (ICML, 2022)

Efficient Policy Iteration for Robust Markov Decision Processes via Regularization. - Navdeep Kumar; Kfir Levy; Kaixin Wang; Shie Mannor (CoRR, 2022)

Policy Gradient for Reinforcement Learning with General Utilities. - Navdeep Kumar; Kaixin Wang; Kfir Levy; Shie Mannor (CoRR, 2022)

Policy Gradient for Rectangular Robust Markov Decision Processes. - Navdeep Kumar; Esther Derman; Matthieu Geist; Kfir Y. Levy; Shie Mannor (NeurIPS, 2023)

Policy Gradient for s-Rectangular Robust Markov Decision Processes. - Navdeep Kumar; Esther Derman; Matthieu Geist; Kfir Levy; Shie Mannor (CoRR, 2023)

An Efficient Solution to s-Rectangular Robust Markov Decision Processes. - Navdeep Kumar; Kfir Levy; Kaixin Wang; Shie Mannor (CoRR, 2023)

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)

Policy Gradient with Tree Search (PGTS) in Reinforcement Learning Evades Local Maxima. - Navdeep Kumar; Priyank Agrawal; Kfir Yehuda Levy; Shie Mannor (Tiny Papers @ ICLR, 2024)

Towards Faster Global Convergence of Robust Policy Gradient Methods. - Navdeep Kumar; Ilnura Usmanova; Kfir Yehuda Levy; Shie Mannor (Tiny Papers @ ICLR, 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)

Policy Gradient for Reinforcement Learning with General Utilities. - Navdeep Kumar; Kaixin Wang; Utkarsh Pratiush; 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)

Efficient Value Iteration for s-rectangular Robust Markov Decision Processes. - Navdeep Kumar; Kaixin Wang; Kfir Yehuda Levy; Shie Mannor (ICML, 2024)

On the Global Convergence of Policy Gradient in Average Reward Markov Decision Processes. - Navdeep Kumar; Yashaswini Murthy; Itai Shufaro; Kfir Y. Levy; R. Srikant 001; Shie Mannor (CoRR, 2024)

Improved Sample Complexity for Global Convergence of Actor-Critic Algorithms. - Navdeep Kumar; Priyank Agrawal; Giorgia Ramponi; Kfir Yehuda Levy; Shie Mannor (CoRR, 2024)

The effect of network delays on Distributed Ledgers based on Directed Acyclic Graphs: A mathematical model. - Navdeep Kumar; Alexandre Reiffers-Masson; Isabel Amigo; Santiago Ruano Rincón (Perform. Evaluation, 2024)

Global Convergence of Policy Gradient in Average Reward MDPs. - Navdeep Kumar; Yashaswini Murthy; Itai Shufaro; Kfir Yehuda Levy; R. Srikant 001; Shie Mannor (ICLR, 2025)

Dual Formulation for Non-Rectangular Lp Robust Markov Decision Processes. - Navdeep Kumar; Adarsh Gupta; Maxence Mohamed Elfatihi; Giorgia Ramponi; Kfir Yehuda Levy; 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)