Search Results for author: Yitzhak Spielberg

Found 4 papers, 0 papers with code

The Concept of Criticality in Reinforcement Learning

no code implementations16 Oct 2018 Yitzhak Spielberg, Amos Azaria

This observation is related to the idea that each state of the MDP has a certain measure of criticality which indicates how much the choice of the action in that state influences the return.

reinforcement-learning Reinforcement Learning (RL)

Revelation of Task Difficulty in AI-aided Education

no code implementations12 Jan 2022 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.

The Concept of Criticality in AI Safety

no code implementations12 Jan 2022 Yitzhak Spielberg, Amos Azaria

When AI agents don't align their actions with human values they may cause serious harm.

Criticality-Based Varying Step-Number Algorithm for Reinforcement Learning

no code implementations13 Jan 2022 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 influences the expected return.

Q-Learning reinforcement-learning +1

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