2 citations · 3 across the 3 of their papers we have counts for
4 papers
Situationally Aware Options
Daniel J. Mankowitz, Aviv Tamar, Shie Mannor
Hierarchical abstractions, also known as options -- a type of temporally extended action (Sutton et. al. 1999) that enables a reinforcement learning agent to plan at a higher level…
Shallow Updates for Deep Reinforcement Learning
Nir Levine, Tom Zahavy, Daniel J. Mankowitz +2
Deep reinforcement learning (DRL) methods such as the Deep Q-Network (DQN) have achieved state-of-the-art results in a variety of challenging, high-dimensional domains. This succes…
CFORB: Circular FREAK-ORB Visual Odometry
Daniel J. Mankowitz, Ehud Rivlin
We present a novel Visual Odometry algorithm entitled Circular FREAK-ORB (CFORB). This algorithm detects features using the well-known ORB algorithm [12] and computes feature descr…
Bootstrapping Skills
Daniel J. Mankowitz, Timothy A. Mann, Shie Mannor
The monolithic approach to policy representation in Markov Decision Processes (MDPs) looks for a single policy that can be represented as a function from states to actions. For the…