To accelerate the learning of reinforcement learning, many types of function approximation are used to represent state value. However function approximation reduces the accuracy o...
FPGAs offer flexibility and cost-effectiveness that ASICs cannot match; however, their performance is quite poor in comparison, especially for arithmetic dominated circuits. To ad...
Philip Brisk, Ajay K. Verma, Paolo Ienne, Hadi Par...
The many levels of metal used in aggressive deep submicron process technologies has made fast and accurate capacitance extraction of complicated 3-D geometries of conductors essen...
The ability to compute the parasitic inductance of the interconnect is critical to the timing verification of modern VLSI circuits. A challenging aspect of inductance extraction i...
Imitation is actively being studied as an effective means of learning in multi-agent environments. It allows an agent to learn how to act well (perhaps optimally) by passively obs...