A key focus of contemporary agent-oriented research and engineering is on open multiagent systems composed of truly autonomous, interacting agents. This poses new challenges, as en...
Bayesian Reinforcement Learning has generated substantial interest recently, as it provides an elegant solution to the exploration-exploitation trade-off in reinforcement learning...
Common sense knowledge can be efficiently collected from non-experts over the web in a similar fashion to the Open Mind family of distributed knowledge capture projects. We descri...
Even under polynomial restrictions on plan length, conformant planning remains a very hard computational problem as plan verification itself can take exponential time. This heavy ...
Reasoning with both probabilistic and deterministic dependencies is important for many real-world problems, and in particular for the emerging field of statistical relational lear...