118 citations · 468 across the 41 of their papers we have counts for
3 papers · 2 filters
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…
Learning Generalized Reactive Policies using Deep Neural Networks
Edward Groshev, Maxwell Goldstein, Aviv Tamar +2
We present a new approach to learning for planning, where knowledge acquired while solving a given set of planning problems is used to plan faster in related, but new problem insta…
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…