Daniela Pucci de Farias

According to our database, Daniela Pucci de Farias authored at least 19 papers between 2000 and 2008.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2008

Decentralized Resource Allocation in Dynamic Networks of Agents.

Hariharan Lakshmanan, Daniela Pucci de Farias

SIAM J. Optim., 2008

Choosing the cost vector of the linear programming approach to approximate dynamic programming.

Daniela Pucci de Farias, Théophane Weber

Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007

Embedding Health Management into Mission Tasking for UAV Teams.

Mario J. Valenti, Brett Bethke, Jonathan P. How, Daniela Pucci de Farias, John Vian

Proceedings of the American Control Conference, 2007

2006

A Cost-Shaping Linear Program for Average-Cost Approximate Dynamic Programming with Performance Guarantees.

Daniela Pucci de Farias, Benjamin Van Roy

Math. Oper. Res., 2006

Combining expert advice in reactive environments.

Daniela Pucci de Farias, Nimrod Megiddo

J. ACM, 2006

Decentralized approximate dynamic programming for dynamic networks of agents.

Hariharan Lakshmanan, Daniela Pucci de Farias

Proceedings of the American Control Conference, 2006

2005

The Workshop Program at the Nineteenth National Conference on Artificial Intelligence.

Ion Muslea, Virginia Dignum, Daniel D. Corkill, Catholijn M. Jonker, Frank Dignum, Silvia Coradeschi, Alessandro Saffiotti, Dan Fu, Jeff Orkin, William Cheetham, Kai Goebel, Piero P. Bonissone, Leen-Kiat Soh, Randolph M. Jones, Robert E. Wray III, Matthias Scheutz, Daniela Pucci de Farias, Shie Mannor, Georgios Theocharous, Doina Precup, Bamshad Mobasher, Sarabjot S. Anand, Bettina Berendt, Andreas Hotho, Hans W. Guesgen, Michael T. Rosenstein, Mohammad Ghavamzadeh

AI Mag., 2005

2004

On Constraint Sampling in the Linear Programming Approach to Approximate Dynamic Programming.

Daniela Pucci de Farias, Benjamin Van Roy

Math. Oper. Res., 2004

A Cost-Shaping LP for Bellman Error Minimization with Performance Guarantees.

Daniela Pucci de Farias, Benjamin Van Roy

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Exploration-Exploitation Tradeoffs for Experts Algorithms in Reactive Environments.

Daniela Pucci de Farias, Nimrod Megiddo

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Finite-state rate-distortion for individual sequences.

Dharmendra S. Modha, Daniela Pucci de Farias

Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004

2003

The Linear Programming Approach to Approximate Dynamic Programming.

Daniela Pucci de Farias, Benjamin Van Roy

Oper. Res., 2003

How to Combine Expert (and Novice) Advice when Actions Impact the Environment?

Daniela Pucci de Farias, Nimrod Megiddo

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

On constraint sampling in the linear programming approach to approximate linear programming.

Daniela Pucci de Farias, Benjamin Van Roy

Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

2002

Approximate Linear Programming for Average-Cost Dynamic Programming.

Daniela Pucci de Farias, Benjamin Van Roy

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001

Approximate Dynamic Programming via Linear Programming.

Daniela Pucci de Farias, Benjamin Van Roy

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

2000

Output feedback control of Markov jump linear systems in continuous-time.

Daniela Pucci de Farias, José Claudio Geromel, João B. R. do Val, Oswaldo L. V. Costa

IEEE Trans. Autom. Control., 2000

Fixed Points of Approximate Value Iteration and Temporal-Difference Learning.

Daniela Pucci de Farias, Benjamin Van Roy

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

Approximate value iteration with randomized policies.

Daniela Pucci de Farias, Benjamin Van Roy

Proceedings of the 39th IEEE Conference on Decision and Control, 2000