Navdeep Kumar - RankMe

27 papers A* 6Journal 14Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Horizon Imagination: Efficient On-Policy Rollout in Diffusion World Models. CoRR Lior Cohen, Ofir Nabati, Kaixin Wang, Navdeep Kumar, Shie Mannor
2026	J	`jnl`	Optimal Sample Complexity for Single Time-Scale Actor-Critic with Momentum. CoRR Navdeep Kumar, Tehila Dahan, Lior Cohen, Ananyabrata Barua, Giorgia Ramponi, Kfir Yehuda Levy, Shie Mannor
2025	J	`jnl`	Dual Formulation for Non-Rectangular Lp Robust Markov Decision Processes. CoRR Navdeep Kumar, Adarsh Gupta, Maxence Mohamed Elfatihi, Giorgia Ramponi, Kfir Yehuda Levy, Shie Mannor
2025	A*	`conf`	Global Convergence of Policy Gradient in Average Reward MDPs. ICLR Navdeep Kumar, Yashaswini Murthy, Itai Shufaro, Kfir Yehuda Levy, R. Srikant, Shie Mannor
2025	J	`jnl`	Policy Gradient with Tree Search: Avoiding Local Optimas through Lookahead. CoRR Uri Koren, Navdeep Kumar, Uri Gadot, Giorgia Ramponi, Kfir Yehuda Levy, Shie Mannor
2024	A*	`conf`	Bring Your Own (Non-Robust) Algorithm to Solve Robust MDPs by Estimating The Worst Kernel. ICML Uri Gadot, Kaixin Wang, Navdeep Kumar, Kfir Yehuda Levy, Shie Mannor
2024	A*	`conf`	Efficient Value Iteration for s-rectangular Robust Markov Decision Processes. ICML Navdeep Kumar, Kaixin Wang, Kfir Yehuda Levy, Shie Mannor
2024	J	`jnl`	Improved Sample Complexity for Global Convergence of Actor-Critic Algorithms. CoRR Navdeep Kumar, Priyank Agrawal, Giorgia Ramponi, Kfir Yehuda Levy, Shie Mannor
2024	—	`conf`	Learning the Uncertainty Set in Robust Markov Decision Process. Tiny Papers @ ICLR Navdeep Kumar, Kaixin Wang, Uri Gadot, Kfir Yehuda Levy, Shie Mannor
2024	J	`jnl`	On the Global Convergence of Policy Gradient in Average Reward Markov Decision Processes. CoRR Navdeep Kumar, Yashaswini Murthy, Itai Shufaro, Kfir Y. Levy, R. Srikant, Shie Mannor
2024	—	`conf`	Policy Gradient for Reinforcement Learning with General Utilities. Tiny Papers @ ICLR Navdeep Kumar, Kaixin Wang, Utkarsh Pratiush, Kfir Yehuda Levy, Shie Mannor
2024	—	`conf`	Policy Gradient with Tree Search (PGTS) in Reinforcement Learning Evades Local Maxima. Tiny Papers @ ICLR Navdeep Kumar, Priyank Agrawal, Kfir Yehuda Levy, Shie Mannor
2024	A*	`conf`	Solving Non-rectangular Reward-Robust MDPs via Frequency Regularization. AAAI Uri Gadot, Esther Derman, Navdeep Kumar, Maxence Mohamed Elfatihi, Kfir Levy, Shie Mannor
2024	J	`jnl`	The effect of network delays on Distributed Ledgers based on Directed Acyclic Graphs: A mathematical model. Perform. Evaluation Navdeep Kumar, Alexandre Reiffers-Masson, Isabel Amigo, Santiago Ruano Rincón
2024	—	`conf`	Towards Faster Global Convergence of Robust Policy Gradient Methods. Tiny Papers @ ICLR Navdeep Kumar, Ilnura Usmanova, Kfir Yehuda Levy, Shie Mannor
2023	J	`jnl`	An Efficient Solution to s-Rectangular Robust Markov Decision Processes. CoRR Navdeep Kumar, Kfir Levy, Kaixin Wang, Shie Mannor
2023	A*	`conf`	Policy Gradient for Rectangular Robust Markov Decision Processes. NeurIPS Navdeep Kumar, Esther Derman, Matthieu Geist, Kfir Y. Levy, Shie Mannor
2023	J	`jnl`	Policy Gradient for s-Rectangular Robust Markov Decision Processes. CoRR Navdeep Kumar, Esther Derman, Matthieu Geist, Kfir Levy, Shie Mannor
2023	J	`jnl`	Robust Reinforcement Learning via Adversarial Kernel Approximation. CoRR Kaixin Wang, Uri Gadot, Navdeep Kumar, Kfir Levy, Shie Mannor
2023	J	`jnl`	Solving Non-Rectangular Reward-Robust MDPs via Frequency Regularization. CoRR Uri Gadot, Esther Derman, Navdeep Kumar, Maxence Mohamed Elfatihi, Kfir Levy, Shie Mannor
2022	J	`jnl`	Efficient Policy Iteration for Robust Markov Decision Processes via Regularization. CoRR Navdeep Kumar, Kfir Levy, Kaixin Wang, Shie Mannor
2022	—	`conf`	Empirical Evaluation of Deep Learning Approaches for Landmark Detection in Fish Bioimages. ECCV Workshops (4) Navdeep Kumar, Claudia Di Biagio, Zachary Dellacqua, Ratish Raman, Arianna Martini, Clara Boglione, Marc Muller, Pierre Geurts, Raphaël Marée
2022	J	`jnl`	Policy Gradient for Reinforcement Learning with General Utilities. CoRR Navdeep Kumar, Kaixin Wang, Kfir Levy, Shie Mannor
2022	A*	`conf`	The Geometry of Robust Value Functions. ICML Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor
2022	J	`jnl`	The Geometry of Robust Value Functions. CoRR Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor
2021	—	`conf`	Deep Learning Approaches for Head and Operculum Segmentation in Zebrafish Microscopy Images. CAIP (1) Navdeep Kumar, Alessio Carletti, Paulo Jorge Gavaia, Marc Muller, M. Leonor Cancela, Pierre Geurts, Raphaël Marée
2008	—	`conf`	Setup Planning and Operation Sequencing Using Neural Network and Genetic Algorithm. ITNG Ravinder Singh Joshi, Navdeep Kumar, Anju Sharma