Lorenzo Clemente

2papers

2 Papers

GTNov 21, 2017
Multidimensional beyond worst-case and almost-sure problems for mean-payoff objectives

Lorenzo Clemente, Jean-François Raskin

The beyond worst-case threshold problem (BWC), recently introduced by Bruyère et al., asks given a quantitative game graph for the synthesis of a strategy that i) enforces some minimal level of performance against any adversary, and ii) achieves a good expectation against a stochastic model of the adversary. They solved the BWC problem for finite-memory strategies and unidimensional mean-payoff objectives and they showed membership of the problem in NP$\cap$coNP. They also noted that infinite-memory strategies are more powerful than finite-memory ones, but the respective threshold problem was left open. We extend these results in several directions. First, we consider multidimensional mean-payoff objectives. Second, we study both finite-memory and infinite-memory strategies. We show that the multidimensional BWC problem is coNP-complete in both cases. Third, in the special case when the worst-case objective is unidimensional (but the expectation objective is still multidimensional) we show that the complexity decreases to NP$\cap$coNP. This solves the infinite-memory threshold problem left open by Bruyère et al., and this complexity cannot be improved without improving the currently known complexity of classical mean-payoff games. Finally, we introduce a natural relaxation of the BWC problem, the beyond almost-sure threshold problem (BAS), which asks for the synthesis of a strategy that ensures some minimal level of performance with probability one and a good expectation against the stochastic model of the adversary. We show that the multidimensional BAS threshold problem is solvable in P.

28.5FLMay 13
Commutative algebras of series

Lorenzo Clemente

We consider a large family of product operations of formal power series in noncommuting indeterminates, the classes of automata they define, and the respective equivalence problems. A $P$-product of series is defined coinductively by a polynomial product rule $P$, which gives a recursive recipe to build the product of two series as a function of the series themselves and their derivatives. The first main result of the paper is a complete and decidable characterisation of all product rules $P$ giving rise to $P$-products which are bilinear, associative, and commutative. The characterisation shows that there are infinitely many such products, and in particular it applies to the notable Hadamard, shuffle, and infiltration products from the literature. Every $P$-product gives rise to the class of $P$-automata, an infinite-state model where states are terms. The second main result of the paper is that the equivalence problem for $P$-automata is decidable for $P$-products satisfying our characterisation. This explains, subsumes, and extends previous results on Hadamard, shuffle, and infiltration automata. We have formalised most results in the proof assistant Agda.