Abstract. Two main challenges of robot action planning in real domains are uncertain action effects and dynamic environments. In this paper, an instance-based action model is lear...
Multi-instance (MI) learning is a variant of supervised learning where labeled examples consist of bags (i.e. multi-sets) of feature vectors instead of just a single feature vecto...
Abstract. We consider batch reinforcement learning problems in continuous space, expected total discounted-reward Markovian Decision Problems. As opposed to previous theoretical wo...
We present a biologically inspired approach to the dynamic assignment and reassignment of a homogeneous swarm of robots to multiple locations, which is relevant to applications lik...
F0 is an acoustic feature that varies largely from one speaker to another. F0 is characterized by a discontinuity in the transition between voiced and unvoiced sounds that present...
Aki Kunikoshi, Yao Qian, Frank K. Soong, Nobuaki M...