Navdeep Kumar

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 18

Top Topics

Markov Decision Process

Policy Gradient

Reinforcement Learning

Top Venues

Tiny Papers @ ICLR

ECCV Workshops (4)

Perform. Evaluation

Publications

Navdeep Kumar, Kaixin Wang, Utkarsh Pratiush, Kfir Yehuda Levy, Shie Mannor
Policy Gradient for Reinforcement Learning with General Utilities. Tiny Papers @ ICLR (2024)
Navdeep Kumar, Kaixin Wang, Uri Gadot, Kfir Yehuda Levy, Shie Mannor
Learning the Uncertainty Set in Robust Markov Decision Process. Tiny Papers @ ICLR (2024)
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 (2024)
Navdeep Kumar, Ilnura Usmanova, Kfir Yehuda Levy, Shie Mannor
Towards Faster Global Convergence of Robust Policy Gradient Methods. Tiny Papers @ ICLR (2024)
Uri Gadot, Esther Derman, Navdeep Kumar, Maxence Mohamed Elfatihi, Kfir Levy, Shie Mannor
Solving Non-rectangular Reward-Robust MDPs via Frequency Regularization. AAAI (2024)
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)
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 (2024)
Uri Gadot, Esther Derman, Navdeep Kumar, Maxence Mohamed Elfatihi, Kfir Levy, Shie Mannor
Solving Non-Rectangular Reward-Robust MDPs via Frequency Regularization. CoRR (2023)
Navdeep Kumar, Kfir Levy, Kaixin Wang, Shie Mannor
An Efficient Solution to s-Rectangular Robust Markov Decision Processes. CoRR (2023)
Navdeep Kumar, Esther Derman, Matthieu Geist, Kfir Y. Levy, Shie Mannor
Policy Gradient for Rectangular Robust Markov Decision Processes. NeurIPS (2023)
Navdeep Kumar, Esther Derman, Matthieu Geist, Kfir Levy, Shie Mannor
Policy Gradient for s-Rectangular Robust Markov Decision Processes. CoRR (2023)
Kaixin Wang, Uri Gadot, Navdeep Kumar, Kfir Levy, Shie Mannor
Robust Reinforcement Learning via Adversarial Kernel Approximation. CoRR (2023)
Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor
The Geometry of Robust Value Functions. CoRR (2022)
Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor
The Geometry of Robust Value Functions. ICML (2022)
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)
Navdeep Kumar, Kaixin Wang, Kfir Levy, Shie Mannor
Policy Gradient for Reinforcement Learning with General Utilities. CoRR (2022)
Navdeep Kumar, Kfir Levy, Kaixin Wang, Shie Mannor
Efficient Policy Iteration for Robust Markov Decision Processes via Regularization. CoRR (2022)
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)
Ravinder Singh Joshi, Navdeep Kumar, Anju Sharma
Setup Planning and Operation Sequencing Using Neural Network and Genetic Algorithm. ITNG (2008)