Reinforcement learning (RL) algorithms provide a sound theoretical basis for building learning control architectures for embedded agents. Unfortunately all of the theory and much ...
Satinder P. Singh, Tommi Jaakkola, Michael I. Jord...
We consider programming language aspects of algorithms that operate on data too large to fit into memory. In previous work we have introduced IntML, a functional programming langu...
State machine based formalisms such as labelled transition systems (LTS) are generally assumed to be complete descriptions m behaviour at some level of abstraction: if a labelled ...
The development of the infrastructure for ubiquitous computing is progressing rapidly, yet the applications that will be built on this new infrastructure remain largely ill define...
Model checking has proven to be an effective technology for verification and debugging in hardware and more recently in software domains. We believe that recent trends in both th...
Matthew B. Dwyer, John Hatcliff, Matthew Hoosier, ...