Search Results for author:
Found 11 papers, 3 papers with code
Emergent Dominance Hierarchies in Reinforcement Learning Agents
Modern Reinforcement Learning (RL) algorithms are able to outperform humans in a wide variety of tasks.
Multi-agent Reinforcement Learning
reinforcement-learning
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ICRA Roboethics Challenge 2023: Intelligent Disobedience in an Elderly Care Home
With the projected surge in the elderly population, service robots offer a promising avenue to enhance their well-being in elderly care homes.
Stubborn: An Environment for Evaluating Stubbornness between Agents with Aligned Incentives
In our preliminary results, the agents learn to use their partner's stubbornness as a signal for improving the choices that they make in the environment.
Proceedings of the AI-HRI Symposium at AAAI-FSS 2022
The Artificial Intelligence (AI) for Human-Robot Interaction (HRI) Symposium has been a successful venue of discussion and collaboration on AI theory and methods aimed at HRI since 2014.
A Survey of Ad Hoc Teamwork Research
Ad hoc teamwork is the research problem of designing agents that can collaborate with new teammates without prior coordination.
Goal Recognition as Reinforcement Learning
In this paper, we develop a framework that combines model-free reinforcement learning and goal recognition to alleviate the need for careful, manual domain design, and the need for costly online executions.
AI-HRI 2021 Proceedings
In addition, acknowledging that ethics is an inherent part of the human-robot interaction, we encourage submissions of works on ethics for HRI.
Conflict Avoidance in Social Navigation -- a Survey
This survey aims to bridge this gap by introducing such a common language, using it to survey existing work, and highlighting open problems.
Expected Value of Communication for Planning in Ad Hoc Teamwork
We then present a novel planning algorithm for ad hoc teamwork, determining which query to ask and planning accordingly.
Session Analysis using Plan Recognition
This paper presents preliminary results of our work with a major financial company, where we try to use methods of plan recognition in order to investigate the interactions of a costumer with the company's online interface.
Sequential Plan Recognition
The paper defines the sequential plan recognition process (SPRP), which seeks to reduce the number of hypotheses using a minimal number of queries.
