Reinforcement learning (RL) problems constitute an important class of learning and control problems faced by artificial intelligence systems. In these problems, one is faced with ...
Recent development on distributed systems has shown that a variety of fairness constraints (some of which are only recently defined) play vital roles in designing self-stabilizing ...
Jun Sun 0001, Yang Liu 0003, Jin Song Dong, Jun Pa...
Different distributed real-time systems (DRS) must handle aperiodic and periodic events under diverse sets of requirements. While existing middleware such as Real-Time CORBA has sh...
Distributed Partially Observable Markov Decision Problems (Distributed POMDPs) are evolving as a popular approach for modeling multiagent systems, and many different algorithms ha...
Memory corruption errors lead to non-deterministic, elusive crashes. This paper describes ARCHER (ARray CHeckER) a static, effective memory access checker. ARCHER uses path-sensit...