Five implementations of di erent lazy functional languages are compared using a common benchmark of a dozen medium size programs. The benchmarking procedure has been designed such...
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...
Maintenance activities are made more difficult when pointers are heavily used in source code: the programmer needs to build a mental model of memory locations and of the way they ...
The intensional transformation is a technique that can be used in order to eliminate higher-order functions from a functional program by introducing appropriate context manipulatio...
Existing value function approximation methods have been successfully used in many applications, but they often lack useful a priori error bounds. We propose a new approximate bili...