In this paper, we propose a policy gradient reinforcement learning algorithm to address transition-independent Dec-POMDPs. This approach aims at implicitly exploiting the locality...
We address in this paper a problem of autonomous agents performing in a common environment where each agent has its goal to achieve before a given deadline. Agents must be able to...
Decentralized partially observable Markov decision processes (DEC-POMDPs) form a general framework for planning for groups of cooperating agents that inhabit a stochastic and part...
Matthijs T. J. Spaan, Geoffrey J. Gordon, Nikos A....
This paper presents user interface technology, using a glove based menuing system and 3D interaction techniques. It is designed to support applications that allow users to constru...
This paper describes an animated conversational agent called Kare1 which integrates a talking head interface with a linguistically motivated human-machine dialogue system. The age...