We present a new technique for verification of complex hardware devices that allows both generality andahighdegreeofautomation.Thetechniqueisbasedonournewwayofconstructinga"li...
Sergey Berezin, Edmund M. Clarke, Armin Biere, Yun...
We present an expressive agent design language for reinforcement learning that allows the user to constrain the policies considered by the learning process.The language includes s...
The need to perform early design studies that combine architectural simulation with power estimation has become critical as power has become a design constraint whose importance h...
Nam Sung Kim, Taeho Kgil, Valeria Bertacco, Todd M...
Abstract. Regular model checking is a form of symbolic model checking technique for systems whose states can be represented as finite words over a finite alphabet, where regular ...
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...