In many practical reinforcement learning problems, the state space is too large to permit an exact representation of the value function, much less the time required to compute it. ...
This paper investigates reconfigurable architectures suitable for chip multiprocessors (CMPs). Prior research has established that augmenting a conventional processor with reconfi...
Matthew A. Watkins, Mark J. Cianchetti, David H. A...
Recent research has proposed security-critical real-time embedded systems with provably-strong information containment through the use of hardware-enforced execution leases. Execut...
Model-checkers are powerful tools that can find individual traces through models to satisfy desired properties. These traces provide solutions to a number of problems. Instead of...
Many machine learning applications that involve relational databases incorporate first-order logic and probability. Markov Logic Networks (MLNs) are a prominent statistical relati...
Hassan Khosravi, Oliver Schulte, Tong Man, Xiaoyua...