Daniel Urieli

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I was a Ph.D. student in the Computer Science Department at The University of Texas at Austin (graduated 2015). I was a member of the Learning Agents Research Group (LARG), advised by Professor Peter Stone. My research focused on designing learning agents for solving sustainable energy problems. Prior to joining the Ph.D. program at UT Austin, I completed a dual major B.Sc in computer science and mathematics, and an M.Sc in computer science, both at Tel Aviv University.

News:

Dec 2015: I graduated and moved to co-establish an autonomous driving research group at General Motors.

Feb 2015: I won 2nd place in the UT Energy Week Research Competition, in the category ''Generation, Distribution & Markets''.

Dec 2013: Best Contribution Award in NIPS 2013 workshop on Machine Learning for Sustainability for the paper: ''TacTex'13: A Champion Adaptive Power Trading Agent''.

July 2013: We won first place in the Power Trading Agent Competition (PowerTAC) with our new TacTex agent.

July 2011: We won first place at the the international RoboCup 2011 competition in the 3D simulation league with our team UT Austin Villa. [details]

Email
urieli @ cs.utexas.edu

Ph.D. Dissertation:

Autonomous Trading in Modern Electricity Markets
Daniel Urieli
Ph.D. Dissertation, The University of Texas at Austin, Austin, Texas, USA, 2015.

Conference Papers:

An MDP-Based Winning Approach to Autonomous Power Trading: Formalization and Empirical Analysis
Daniel Urieli, Peter Stone
In Proc. of the 15th International Conference on Autonomous Agents and Multiagent Systems, 2016 (AAMAS-16).

Autonomous Electricity Trading using Time-Of-Use Tariffs in a Competitive Market
Daniel Urieli, Peter Stone
In Proc. of the 30th Conference on Artificial Intelligence, 2016 (AAAI-16).

TacTex'13: A Champion Adaptive Power Trading Agent.
Daniel Urieli, Peter Stone
In Proc. of the 28th Conference on Artificial Intelligence, 2014 (AAAI-14).

A Learning Agent for Heat-Pump Thermostat Control.
Daniel Urieli, Peter Stone
In Proc. of the 12th International Conference on Autonomous Agents and Multiagent Systems, 2013 (AAMAS-13).

Model-Selection for Non-Parametric Function Approximation in Continuous Control Problems: A Case Study in a Smart Energy System.
Daniel Urieli, Peter Stone
In Proc. of the European Conference on Machine Learning and Knowledge Discovery in Databases, 2013 (ECML-13).

Design and Optimization of an Omnidirectional Humanoid Walk: A Winning Approach at the RoboCup 2011 3D Simulation Competition.
Patrick MacAlpine, Samuel Barrett, Daniel Urieli, Victor Vu, Peter Stone
In Proc. of the 26th Conference on Artificial Intelligence, 2012 (AAAI-12).

UT Austin Villa 2011: A Champion Agent in the RoboCup 3D Soccer Simulation Competition.
Patrick MacAlpine, Daniel Urieli, Samuel Barrett, Shivaram Kalyanakrishnan, Francisco Barrera, Adrian Lopez-Mobilia, Nicolae Stiurca, Victor Vu, Peter Stone
In Proc. of the 11th Int. Conf. on Autonomous Agents and Multiagent Systems, 2012 (AAMAS-12).

Multiagent Patrol Generalized to Complex Environmental Conditions.
Noa Agmon, Daniel Urieli, Peter Stone
In Proc. of the 25th Conference on Artificial Intelligence, 2011 (AAAI-11).

On Optimizing Interdependent Skills: A Case Study in Simulated 3D Humanoid Robot Soccer.
Daniel Urieli, Patrick MacAlpine, Shivaram Kalyanakrishnan, Yinon Bentor, Peter Stone
In Proc. of the 10th Int. Conf. on Autonomous Agents and Multiagent Systems, 2011 (AAMAS-11).

Inner-Product Based Wavelet Synopses for Range-Sum Queries.
Yossi Matias, Daniel Urieli
In Proc. of the 14th Annual European Symposium on Algorithms, 2006 (ESA-06).

Optimal workload-based weighted wavelet synopses.
Yossi Matias, Daniel Urieli
In Proc. of the 10th International Conference Database Theory, 2005 (ICDT-05).

Journal Articles:

Optimal workload-based weighted wavelet synopses.
Yossi Matias, Daniel Urieli
In Theoretical Computer Science (TCS), 371(3) (2007) 227-246, special issue of selected papers from ICDT'05 (invited paper) (TCS).

Book Chapters:

Wright Eagle and UT Austin Villa: RoboCup 2011 Simulation League Champions.
Aijun Bai, Xiaoping Chen, Patrick MacAlpine, Daniel Urieli, Samuel Barrett, Peter Stone
In RoboCup-2011: Robot Soccer World Cup XV, Lecture Notes in Artificial Intelligence, Springer Verlag, Berlin 2012
.

Technical Reports:

UT Austin Villa 2011 3D Simulation Team Report.
Patrick MacAlpine, Daniel Urieli, Samuel Barrett, Shivaram Kalyanakrishnan, Francisco Barrera, Adrian Lopez-Mobilia, Nicolae Stiurca, Victor Vu, Peter Stone
Technical Report AI11-10, The University of Texas at Austin, Department of Computer Science, AI Laboratory 2011
.

Robocup 3D Simulation Team

UTSeaSim - A Ship Patrol Simulator I developed

CS 343: Artificial Intelligence (Spring 2012)

CS 343: Artificial Intelligence (Spring 2010)

TaxTex - a champion power trading agent

Robocup 3D Simulation Team - a champion simulated robot soccer team

UTSeaSim - a ship patrol simulator