Sentence examples for learn from demonstrations from inspiring English sources

In 2015, González-Fierro, et al. [12] proposed a method for humanoid robots to learn from demonstrations of human opening doors, and defined a multi-objective reward function as a measurement of the goal optimality.

These skills include the capacity to imitate, to learn from demonstration, to interpret gestures and to recognize speech.

This paper considers two learning from demonstrations algorithms in terms of how they acquire demonstrations.

The learning agent is typically called the learner while the observed agent is often an expert in popular applications such as in learning from demonstrations.

This paper addresses an important issue in learning from demonstrations that are provided by "naïve" human teachers people who do not have expertise in the machine learning algorithms used by the robot.

Learning from Demonstrations: Is It Worth Estimating a Reward Function?

In [14], behaviour primitives of the PHOENIX robot control architecture are incrementally learned from demonstrations.

Two major challenges with Learning from Demonstration (LfD) are to identify what information in a demonstrated behavior requires attention by the robot, and to generalize the learned behavior such that the robot is able to perform the same behavior in novel situations.

We explored providing alternatives and learning from demonstration.

Learning from demonstration has shown to be a suitable approach for learning control policies (CPs).

The performance of PSL as a method for learning from demonstration is evaluated with, and without, contextual information.