Navdeep Kumar

10 papers at tracked venues · 10 at CORE A* · active 2024–2025

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Venues

ICLR ×5 ICML ×2 NeurIPS ×2 AAAI ×1

Frequent coauthors

Kfir Yehuda Levy

×10

Shie Mannor

×10

Kaixin Wang

×4

Uri Gadot

×3

Maxence Mohamed Elfatihi

×2

Giorgia Ramponi

×2

Priyank Agrawal

×2

Yashaswini Murthy

×1

Itai Shufaro

×1

R. Srikant

×1

Adarsh Gupta

×1

Utkarsh Pratiush

×1

Papers

Global Convergence of Policy Gradient in Average Reward MDPs
ICLR 2025 · Navdeep Kumar,
Yashaswini Murthy
,
Itai Shufaro
,
Kfir Yehuda Levy
,
R. Srikant
,
Shie Mannor
Non-rectangular Robust MDPs with Normed Uncertainty Sets
NeurIPS 2025 · Navdeep Kumar,
Adarsh Gupta
,
Maxence Mohamed Elfatihi
,
Giorgia Ramponi
,
Kfir Y. Levy
,
Shie Mannor
On the Convergence of Single-Timescale Actor-Critic
NeurIPS 2025 · Navdeep Kumar,
Priyank Agrawal
,
Giorgia Ramponi
,
Kfir Y. Levy
,
Shie Mannor
Bring Your Own (Non-Robust) Algorithm to Solve Robust MDPs by Estimating The Worst Kernel
ICML 2024 ·
Uri Gadot
,
Kaixin Wang
, Navdeep Kumar,
Kfir Yehuda Levy
,
Shie Mannor
Efficient Value Iteration for s-rectangular Robust Markov Decision Processes
ICML 2024 · Navdeep Kumar,
Kaixin Wang
,
Kfir Yehuda Levy
,
Shie Mannor
Learning the Uncertainty Set in Robust Markov Decision Process
ICLR 2024 · Navdeep Kumar,
Kaixin Wang
,
Uri Gadot
,
Kfir Yehuda Levy
,
Shie Mannor
Policy Gradient for Reinforcement Learning with General Utilities
ICLR 2024 · Navdeep Kumar,
Kaixin Wang
,
Utkarsh Pratiush
,
Kfir Yehuda Levy
,
Shie Mannor
Policy Gradient with Tree Search (PGTS) in Reinforcement Learning Evades Local Maxima
ICLR 2024 · Navdeep Kumar,
Priyank Agrawal
,
Kfir Yehuda Levy
,
Shie Mannor
Solving Non-rectangular Reward-Robust MDPs via Frequency Regularization
AAAI 2024 ·
Uri Gadot
,
Esther Derman
, Navdeep Kumar,
Maxence Mohamed Elfatihi
,
Kfir Levy
,
Shie Mannor
Towards Faster Global Convergence of Robust Policy Gradient Methods
ICLR 2024 · Navdeep Kumar,
Ilnura Usmanova
,
Kfir Yehuda Levy
,
Shie Mannor