IJCAI 2011 - IJCAI Workshop Decision Making in Partially Observable, Uncertain Worlds: Exploring Insights from Multiple Communities

We solicit papers relevant to single or multi-agent decision making under uncertainty and partial observability, including (though not limited to) the following:
Leveraging techniques and ideas from research on planning, such as employing relaxations, and replanning, for partially observable domains.

http://www.cs.berkeley.edu/~emma/ijcai2011ws_dates...
Extending work on abstractions and generalized solution methods with theoretical guarantees to partially observable and multiagent domains.
Transforming ideas and intuitions between the neighboring communities. We welcome papers that discuss the relationships between the communities and discuss even very early stage ideas.
While multiagent planning problems are typically much harder to solve, defining or learning the models for the agent(s) is of comparable level of difficulty. Having good models at an appropriate level of abstraction is important for real-world applications. We welcome contributions on how to learn appropriate stochastic models, or on related practical issues.
Often planning under uncertainty problems arise in hybrid domains whose dynamics include both a stochastic and a deterministic component, or both partially observable and observable state variables. Prior work has demonstrated that approaches that leverage the reduced uncertainty in the resulting problem can gain computational benefits. We also welcome contributions exploring similar simplifications of multi-agent problems that result in computational speed ups or improved performance quality.
Making decisions in multi-agent systems naturally raises the question of whether the agents are cooperative or competitive, and both areas are active centers of research. We invite work that considers the possible symmetry between various planning criteria in single-agent systems and collaborative/competitive scenarios in multi-agent systems, and how such a symmetry may lead to new research advances in both communities.
Submissions that discuss the relationships between conformant planning, POMDPs and/or DEC-POMDPs will be given priority in acceptance.