This paper analyzes the complexity of on-line reinforcement learning algorithms, namely asynchronous realtime versions of Q-learning and value-iteration, applied to the problem of...
Subgoal interactions have received considerable attention in AI Planning. Earlier analyses by Korf [11] and Joslin and Roach [6] were done in terms of the topology of the space of...
Subbarao Kambhampati, Laurie H. Ihrig, Biplav Sriv...
Back in the late 80s and early 90s, when disk drives were expensive, it was more economical to buy one server and configure it with enough disk space to support several "disk...
While exploring to nd better solutions, an agent performing online reinforcement learning (RL) can perform worse than is acceptable. In some cases, exploration might have unsafe, ...
Satinder P. Singh, Andrew G. Barto, Roderic A. Gru...
Operating system research has endeavored to develop micro-kernels that provide modularity, reliability and security improvements over conventional monolithic kernels. However, the...