We consider symbolic dynamic programming (SDP) for solving Markov Decision Processes (MDP) with factored state and action spaces, where both states and actions are described by se...
Aswin Raghavan, Saket Joshi, Alan Fern, Prasad Tad...
Abstract. This paper presents two approaches for generating and executing the plans of cognitive agents. They can be used to define the semantics of programming languages for cogni...
Genetic programming (GP) is an automatic programming technique that has recently been applied to a wide range of problems including blocks-world planning. This paper describes a s...
Multiagent planning deals with the problem of generating plans for multiple agents. It requires formalizing ways for the agents to interact and cooperate, in order to achieve their...