In this paper, we present a reinforcement learning approach for mapping natural language instructions to sequences of executable actions. We assume access to a reward function tha...
S. R. K. Branavan, Harr Chen, Luke S. Zettlemoyer,...
Abstract. Many algorithms use concrete data types with some additional invariants. The set of values satisfying the invariants is often a set of representatives for the equivalence...
The importance of providing a mechanism to call C functions from high-level languages has been understood for many years and, these days, almost all statically-typed high-level-la...
In this paper, the S-expression Interpreter Framework (SIF) is presented as a tool for teaching language design and implementation. The SIF is based on the interpreter design patt...
In this paper we present how to use the Agent MOdeling LAnguage (AMOLA) to define agent interaction protocols and how to integrate these in an agent model. AMOLA provides the synt...