18 citations · 18 across the 6 of their papers we have counts for
16 papers
Meta-Reinforcement Learning Using Model Parameters
Gabriel Hartmann, Amos Azaria
In meta-reinforcement learning, an agent is trained in multiple different environments and attempts to learn a meta-policy that can efficiently adapt to a new environment. This pap…
Criticality-Based Varying Step-Number Algorithm for Reinforcement Learning
Yitzhak Spielberg, Amos Azaria
In the context of reinforcement learning we introduce the concept of criticality of a state, which indicates the extent to which the choice of action in that particular state influ…
Revelation of Task Difficulty in AI-aided Education
Yitzhak Spielberg, Amos Azaria
When a student is asked to perform a given task, her subjective estimate of the difficulty of that task has a strong influence on her performance. There exists a rich literature on…
A Socially Aware Reinforcement Learning Agent for The Single Track Road Problem
Ido Shapira, Amos Azaria
We present the single track road problem. In this problem two agents face each-other at opposite positions of a road that can only have one agent pass at a time. We focus on the sc…
Explaining Ridesharing: Selection of Explanations for Increasing User Satisfaction
David Zar, Noam Hazon, Amos Azaria
Transportation services play a crucial part in the development of modern smart cities. In particular, on-demand ridesharing services, which group together passengers with similar i…
Conversational Neuro-Symbolic Commonsense Reasoning
Forough Arabshahi, Jennifer Lee, Mikayla Gawarecki +3
In order for conversational AI systems to hold more natural and broad-ranging conversations, they will require much more commonsense, including the ability to identify unstated pre…