18 citations · 40 across the 5 of their papers we have counts for
5 papers
Analysis of Stochastic Processes through Replay Buffers
Shirli Di Castro Shashua, Shie Mannor, Dotan Di-Castro
Replay buffers are a key component in many reinforcement learning schemes. Yet, their theoretical properties are not fully understood. In this paper we analyze a system where a sto…
Sim and Real: Better Together
Shirli Di Castro Shashua, Dotan Di Castro, Shie Mannor
Simulation is used extensively in autonomous systems, particularly in robotic manipulation. By far, the most common approach is to train a controller in simulation, and then use it…
Kalman meets Bellman: Improving Policy Evaluation through Value Tracking
Shirli Di-Castro Shashua, Shie Mannor
Policy evaluation is a key process in Reinforcement Learning (RL). It assesses a given policy by estimating the corresponding value function. When using parameterized value functio…
Trust Region Value Optimization using Kalman Filtering
Shirli Di-Castro Shashua, Shie Mannor
Policy evaluation is a key process in reinforcement learning. It assesses a given policy using estimation of the corresponding value function. When using a parameterized function t…
Deep Robust Kalman Filter
Shirli Di-Castro Shashua, Shie Mannor
A Robust Markov Decision Process (RMDP) is a sequential decision making model that accounts for uncertainty in the parameters of dynamic systems. This uncertainty introduces diffic…