In this paper we aim at automatically adjusting the difficulty of computer games by clustering players into different types and supervised prediction of the type from short traces ...
Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...
The ability to proactively offer assistance promises to make personal agents more helpful to their users. We characterize the properties desired of proactive behaviour by a person...
Neil Yorke-Smith, Shahin Saadati, Karen L. Myers, ...
In this paper we define the concept of conversation policies: declarative specifications that govern communications between software agents using an agent communication language. ...
Simulating a system of agents that navigate in a physical space is a challenging problem when the environment is sophisticated and the number of agents involved is large. We descr...