Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...
Abstract. We introduce a just-in-time specializer for Prolog. Just-intime specialization attempts to unify of the concepts and benefits of partial evaluation (PE) and just-in-time...
Effective resource management for distributed real-time embedded (DRE) systems is hard due to their unique characteristics, including (1) constraints in multiple resources and (2)...
Nilabja Roy, John S. Kinnebrew, Nishanth Shankaran...
—Wormhole switching with fixed priority preemption has been proposed as a possible solution for real-time on-chip communication. However, none of current priority assignment pol...
The paper addresses software implementation of large sparse systems of Boolean functions. Fast evaluation of such functions with the smallest memory consumption is often required ...