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ORCIDNavdeep Kumar
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2020 – today
- 2024
[j1]Navdeep Kumar, Alexandre Reiffers-Masson
, Isabel Amigo, Santiago Ruano Rincón:
The effect of network delays on Distributed Ledgers based on Directed Acyclic Graphs: A mathematical model. Perform. Evaluation 163: 102392 (2024)- [c12]Uri Gadot, Esther Derman, Navdeep Kumar, Maxence Mohamed Elfatihi, Kfir Levy, Shie Mannor:
Solving Non-rectangular Reward-Robust MDPs via Frequency Regularization. AAAI 2024: 21090-21098 - [c11]Navdeep Kumar, Priyank Agrawal, Kfir Yehuda Levy, Shie Mannor:
Policy Gradient with Tree Search (PGTS) in Reinforcement Learning Evades Local Maxima. Tiny Papers @ ICLR 2024 - [c10]Navdeep Kumar, Ilnura Usmanova, Kfir Yehuda Levy, Shie Mannor:
Towards Faster Global Convergence of Robust Policy Gradient Methods. Tiny Papers @ ICLR 2024 - [c9]Navdeep Kumar, Kaixin Wang, Uri Gadot, Kfir Yehuda Levy, Shie Mannor:
Learning the Uncertainty Set in Robust Markov Decision Process. Tiny Papers @ ICLR 2024 - [c8]Navdeep Kumar, Kaixin Wang, Utkarsh Pratiush, Kfir Yehuda Levy, Shie Mannor:
Policy Gradient for Reinforcement Learning with General Utilities. Tiny Papers @ ICLR 2024 - [c7]Uri Gadot, Kaixin Wang, Navdeep Kumar, Kfir Yehuda Levy, Shie Mannor:
Bring Your Own (Non-Robust) Algorithm to Solve Robust MDPs by Estimating The Worst Kernel. ICML 2024 - [c6]Navdeep Kumar, Kaixin Wang, Kfir Yehuda Levy, Shie Mannor:
Efficient Value Iteration for s-rectangular Robust Markov Decision Processes. ICML 2024 - [i9]Navdeep Kumar, Yashaswini Murthy, Itai Shufaro, Kfir Y. Levy, R. Srikant, Shie Mannor:
On the Global Convergence of Policy Gradient in Average Reward Markov Decision Processes. CoRR abs/2403.06806 (2024) - [i8]Navdeep Kumar, Priyank Agrawal, Giorgia Ramponi, Kfir Yehuda Levy, Shie Mannor:
Improved Sample Complexity for Global Convergence of Actor-Critic Algorithms. CoRR abs/2410.08868 (2024) - 2023
- [c5]Navdeep Kumar, Esther Derman, Matthieu Geist, Kfir Y. Levy, Shie Mannor:
Policy Gradient for Rectangular Robust Markov Decision Processes. NeurIPS 2023 - [i7]Navdeep Kumar, Esther Derman, Matthieu Geist, Kfir Levy, Shie Mannor:
Policy Gradient for s-Rectangular Robust Markov Decision Processes. CoRR abs/2301.13589 (2023) - [i6]Navdeep Kumar, Kfir Levy, Kaixin Wang, Shie Mannor:
An Efficient Solution to s-Rectangular Robust Markov Decision Processes. CoRR abs/2301.13642 (2023) - [i5]Kaixin Wang, Uri Gadot, Navdeep Kumar, Kfir Levy, Shie Mannor:
Robust Reinforcement Learning via Adversarial Kernel Approximation. CoRR abs/2306.05859 (2023) - [i4]Uri Gadot, Esther Derman, Navdeep Kumar, Maxence Mohamed Elfatihi, Kfir Levy, Shie Mannor:
Solving Non-Rectangular Reward-Robust MDPs via Frequency Regularization. CoRR abs/2309.01107 (2023) - 2022
- [c4]Navdeep Kumar, Claudia Di Biagio, Zachary Dellacqua, Ratish Raman, Arianna Martini, Clara Boglione, Marc Muller, Pierre Geurts, Raphaël Marée:
Empirical Evaluation of Deep Learning Approaches for Landmark Detection in Fish Bioimages. ECCV Workshops (4) 2022: 470-486 - [c3]Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor:
The Geometry of Robust Value Functions. ICML 2022: 22727-22751 - [i3]Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor:
The Geometry of Robust Value Functions. CoRR abs/2201.12929 (2022) - [i2]Navdeep Kumar, Kfir Levy, Kaixin Wang, Shie Mannor:
Efficient Policy Iteration for Robust Markov Decision Processes via Regularization. CoRR abs/2205.14327 (2022) - [i1]Navdeep Kumar, Kaixin Wang, Kfir Levy, Shie Mannor:
Policy Gradient for Reinforcement Learning with General Utilities. CoRR abs/2210.00991 (2022) - 2021
- [c2]Navdeep Kumar, Alessio Carletti, Paulo J. Gavaia, Marc Muller, M. Leonor Cancela, Pierre Geurts, Raphaël Marée:
Deep Learning Approaches for Head and Operculum Segmentation in Zebrafish Microscopy Images. CAIP (1) 2021: 154-164
2000 – 2009
- 2008
- [c1]Ravinder Singh Joshi, Navdeep Kumar, Anju Sharma:
Setup Planning and Operation Sequencing Using Neural Network and Genetic Algorithm. ITNG 2008: 396-401
Coauthor Index
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