Kfir Levy

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 7

Top Topics

Markov Decision Process

Discounted Reward

Policy Gradient

Top Venues

Publications

Uri Gadot, Esther Derman, Navdeep Kumar, Maxence Mohamed Elfatihi, Kfir 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
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 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)
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)