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Real-world relational data are seldom stationary, yet traditional collaborative filtering algorithms generally rely on this assumption. Motivated by our sales prediction problem, we propose a… (More)

- Håkan Lorens, Samir Younes, +4 authors Håkan L. S. Younes
- 2005

Asynchronous stochastic systems are abundant in the real world. Examples include queuing systems, telephone exchanges, and computer networks. Yet, little attention has been given to such systems in… (More)

- Rosemary Emery-Montemerlo, Geoffrey J. Gordon, Jeff G. Schneider, Sebastian Thrun
- Proceedings of the Third International Joint…
- 2004

Partially observable decentralized decision making in robot teams is fundamentally different from decision making in fully observable problems. Team members cannot simply apply single-agent solution… (More)

We consider the policy search approach to reinforcement learning. We show that if a “baseline distribution” is given (indicating roughly how often we expect a good policy to visit each state), then… (More)

Many interesting problems, such as power grids, network switches, and tra c ow, that are candidates for solving with reinforcement learning (RL), also have properties that make distributed solutions… (More)

Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources ('oracles' or 'experts') with… (More)

- J. Andrew Bagnell, Jeff G. Schneider
- IJCAI
- 2003

Increasing the expressiveness of qualitative spatial calculi is an essential step towards meeting the requirements of applications. This can be achieved by combining existing calculi in a way that we… (More)

- Rosemary Emery-Montemerlo, Geoffrey J. Gordon, Jeff G. Schneider, Sebastian Thrun
- Proceedings of the 2005 IEEE International…
- 2005

In the real world, noisy sensors and limited communication make it difficult for robot teams to coordinate in tightly coupled tasks. Team members cannot simply apply single-robot solution techniques… (More)

- Yi Zhang, Jeff G. Schneider
- ICML
- 2012

In this paper we study output coding for multi-label prediction. For a multi-label output coding to be discriminative, it is important that codewords for different label vectors are significantly… (More)

- J. Andrew Bagnell, Jeff G. Schneider
- ICRA
- 2001

| Many control problems in the robotics eld can be cast as Partially Observed Markovian Decision Problems (POMDPs), an optimal control formalism. Finding optimal solutions to such problems in… (More)