This paper presents a generic anytime forward-search constraint-based algorithm for solving planning problems expressed in the CNT framework (Constraint Network on Timelines). It is generic because it allows many kinds of search to be covered, from complete tree search to greedy search. It is anytime because some parameter settings, together with domain-specific knowledge, allow high quality plans to be produced very quickly and to be further improved. It is forward because it systematically considers the decisions to be made in a chronological order. It is finally constraint-based because it is built on top of the CNT framework which is an extension of the CSP framework able to model discrete event dynamic systems and because it is impleme...
Due to its important practical applications, temporal planning is of great research interest in arti...
Comunicació presentada al 13th Workshop on Constraint Satisfaction Techniques for Planning and Sched...
Recent advances in AI planning have centred upon the reduction of planning to a constraint satisfact...
In the last decades, there has been an increasing interest in the connection between planning and co...
This paper presents a planning algorithm designed to deal with problems in dynamic environments and...
In this paper, we study efficient temporal planning based on a continuous and differentiable nonli...
Many planning domains have to deal with temporal features that can be expressed using durations that...
The treatment of exogenous events in planning is practically important in many realworld domains whe...
A key feature of modern optimal planners such as graphplan and blackbox is their ability to prune la...
AbstractA key feature of modern optimal planners such as graphplan and blackbox is their ability to ...
The treatment of exogenous events in planning is practically important in many real-world domains wh...
Recent advances in constraint satisfaction and heuristic search have made it possible to solve class...
International audienceWe present a general constraint-based encoding for domain-independent task pla...
Agents operating in the real world often have limited time available for planning their next actions...
Abstract In this paper, we introduce a new heuristic search algorithm based on mean values for anyti...
Due to its important practical applications, temporal planning is of great research interest in arti...
Comunicació presentada al 13th Workshop on Constraint Satisfaction Techniques for Planning and Sched...
Recent advances in AI planning have centred upon the reduction of planning to a constraint satisfact...
In the last decades, there has been an increasing interest in the connection between planning and co...
This paper presents a planning algorithm designed to deal with problems in dynamic environments and...
In this paper, we study efficient temporal planning based on a continuous and differentiable nonli...
Many planning domains have to deal with temporal features that can be expressed using durations that...
The treatment of exogenous events in planning is practically important in many realworld domains whe...
A key feature of modern optimal planners such as graphplan and blackbox is their ability to prune la...
AbstractA key feature of modern optimal planners such as graphplan and blackbox is their ability to ...
The treatment of exogenous events in planning is practically important in many real-world domains wh...
Recent advances in constraint satisfaction and heuristic search have made it possible to solve class...
International audienceWe present a general constraint-based encoding for domain-independent task pla...
Agents operating in the real world often have limited time available for planning their next actions...
Abstract In this paper, we introduce a new heuristic search algorithm based on mean values for anyti...
Due to its important practical applications, temporal planning is of great research interest in arti...
Comunicació presentada al 13th Workshop on Constraint Satisfaction Techniques for Planning and Sched...
Recent advances in AI planning have centred upon the reduction of planning to a constraint satisfact...