Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
Abstract. We present a new reinforcement learning approach for deterministic continuous control problems in environments with unknown, arbitrary reward functions. The difficulty of...
Prioritized sweeping is a model-based reinforcement learning method that attempts to focus an agent’s limited computational resources to achieve a good estimate of the value of ...
Communication among agents collaborating on a task often involves complex utterances about multiple actions. In this paper, we analyze two particular multiaction constructions, ut...
: Modern information systems are becoming more and more socio-technical systems, namely systems composed of human (social) agents and software (technical) systems operating togethe...