Large-scale donation-based distributed infrastructures need to cope with the inherent unreliability of participant nodes. A widely-used work scheduling technique in such environme...
Krishnaveni Budati, Jason D. Sonnek, Abhishek Chan...
Traditional goal-oriented approaches to building intelligent agents only consider absolute satisfaction of goals. However, in continuous domains there may be many instances in whi...
Abstract. Mobile entity navigation in dynamic environments is an essential part of many mission critical applications like search and rescue and fire fighting. The dynamism of the ...
Abstract. This paper presents new techniques for master-slave tasking on treeshaped networks with fully heterogeneous communication and processing resources. A large number of inde...
Cyril Banino-Rokkones, Olivier Beaumont, Lasse Nat...
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...