In reinforcement learning problems, an agent has the task of learning a good or optimal strategy from interaction with his environment. At the start of the learning task, the agent...
Tom Croonenborghs, Kurt Driessens, Maurice Bruynoo...
Abstract. Concurrent constraint programming is a simple but powerful framework for computation based on four basic computational ideas: concurrency (multiple agents are simultaneou...
Our goal is to segment multiple interacting and deforming agents in a video. Detectors often fail under large body deformation or agent entanglement. On the other hand, segmenting...
—Commitments based on branching time logic are powerful representations for modeling multi-agent interactions. Current approaches into commitments have conceived these representa...
Head pose and gesture offer several key conversational grounding cues and are used extensively in face-to-face interaction among people. We investigate how dialog context from an ...
Louis-Philippe Morency, Candace L. Sidner, Christo...