We present SLOT-V, a novel supervised learning framework that learns obs...
An integral part of seamless human-human communication is engagement, th...
This paper investigates how unitizing affects external observers' annota...
Teaching an agent to perform new tasks using natural language can easily...
Learning from demonstration methods usually leverage close to optimal
de...
Robots sharing their space with humans need to be proactive in order to ...
In this paper we propose a new parameterization algorithm based on nonli...
When demonstrating a task, human tutors pedagogically modify their behav...
Collective risk dilemmas (CRDs) are a class of n-player games that repre...
Robots that share an environment with humans may communicate their inten...
Autonomous discovery and direct instruction are two extreme sources of
l...
In this paper, we present a study aimed at understanding whether the
emb...
Depression is a common and serious mood disorder that negatively affects...
Intrinsically motivated agents freely explore their environment and set ...
In the real world, linguistic agents are also embodied agents: they perc...
In this paper, we provide an overview of the existing methods for integr...
The use of robots in educational settings is growing increasingly popula...
How to provide explanations has experienced a surge of interest in
Human...
In this paper, we propose a framework that enables a human teacher to sh...
In this paper, we propose an unsupervised reinforcement learning agent c...
In this paper, we investigate a new form of automated curriculum learnin...