This paper investigates the problem of automatically learning how to restructure the reward function of a Markov decision process so as to speed up reinforcement learning. We begi...
Abstract. Formal language learning models have been widely investigated in the last four decades. But it was not until recently that the model of learning from corrections was intr...
Abstract - Organizational learning requires individual learning. Individual learning has to interact in a dynamic social environment in order to contribute to organizational learni...
This paper introduces a new SAT solver that integrates logicbased reasoning and integer programming methods to systems of CNF and PB constraints. Its novel features include an eff...
Abstract. We present a systematic procedure for the synthesis and minimisation of digital circuits using propositional satisfiability. We encode the truth table into a canonical s...