2008 |
27 | EE | Christos Dimitrakakis,
Michail G. Lagoudakis:
Rollout Sampling Approximate Policy Iteration.
ECML/PKDD (1) 2008: 7 |
26 | EE | Christos Dimitrakakis,
Michail G. Lagoudakis:
Algorithms and Bounds for Rollout Sampling Approximate Policy Iteration.
EWRL 2008: 27-40 |
25 | EE | Alejandro R. Mosteo,
Luis Montano,
Michail G. Lagoudakis:
Multi-robot routing under limited communication range.
ICRA 2008: 1531-1536 |
24 | EE | Souzana Volioti,
Michail G. Lagoudakis:
Histogram-Based Visual Object Recognition for the 2007 Four-Legged RoboCup League.
SETN 2008: 313-326 |
23 | EE | Adrienne Chu,
Hongshik Ahn,
Bhawna Halwan,
Bruce Kalmin,
Everson L. A. Artifon,
Alan Barkun,
Michail G. Lagoudakis,
Atul Kumar:
A decision support system to facilitate management of patients with acute gastrointestinal bleeding.
Artificial Intelligence in Medicine 42(3): 247-259 (2008) |
22 | EE | Christos Dimitrakakis,
Michail G. Lagoudakis:
Rollout Sampling Approximate Policy Iteration
CoRR abs/0805.2027: (2008) |
21 | EE | Christos Dimitrakakis,
Michail G. Lagoudakis:
Rollout sampling approximate policy iteration.
Machine Learning 72(3): 157-171 (2008) |
2007 |
20 | EE | Georgios Kontes,
Michail G. Lagoudakis:
Coordinated Team Play in the Four-Legged RoboCup League.
ICTAI (1) 2007: 109-116 |
2006 |
19 | | Sven Koenig,
Craig A. Tovey,
Michail G. Lagoudakis,
Evangelos Markakis,
David Kempe,
Pinar Keskinocak,
Anton J. Kleywegt,
Adam Meyerson,
Sonal Jain:
The Power of Sequential Single-Item Auctions for Agent Coordination.
AAAI 2006 |
18 | EE | Michail G. Lagoudakis:
Incremental Multi-Objective Motion Control of Nonholonomic Mobile Robots.
IROS 2006: 2804-2809 |
17 | EE | Michail G. Lagoudakis:
On Improving Mobile Robot Motion Control.
SETN 2006: 551-554 |
2005 |
16 | EE | Michail G. Lagoudakis,
Evangelos Markakis,
David Kempe,
Pinar Keskinocak,
Anton J. Kleywegt,
Sven Koenig,
Craig A. Tovey,
Adam Meyerson,
Sonal Jain:
Auction-Based Multi-Robot Routing.
Robotics: Science and Systems 2005: 343-350 |
2003 |
15 | | Michail G. Lagoudakis,
Ronald Parr:
Reinforcement Learning as Classification: Leveraging Modern Classifiers.
ICML 2003: 424-431 |
14 | | Michail G. Lagoudakis,
Ronald Parr:
Approximate Policy Iteration using Large-Margin Classifiers.
IJCAI 2003: 1432-1434 |
13 | EE | Michail G. Lagoudakis,
Ronald Parr:
Least-Squares Policy Iteration.
Journal of Machine Learning Research 4: 1107-1149 (2003) |
2002 |
12 | | Carlos Guestrin,
Michail G. Lagoudakis,
Ronald Parr:
Coordinated Reinforcement Learning.
ICML 2002: 227-234 |
11 | EE | Michail G. Lagoudakis,
Ronald Parr:
Learning in Zero-Sum Team Markov Games Using Factored Value Functions.
NIPS 2002: 1627-1634 |
10 | EE | Michail G. Lagoudakis,
Ronald Parr,
Michael L. Littman:
Least-Squares Methods in Reinforcement Learning for Control.
SETN 2002: 249-260 |
9 | | Michail G. Lagoudakis,
Ronald Parr:
Value Function Approximation in Zero-Sum Markov Games.
UAI 2002: 283-292 |
2001 |
8 | EE | Michail G. Lagoudakis,
Ronald Parr:
Model-Free Least-Squares Policy Iteration.
NIPS 2001: 1547-1554 |
7 | EE | Michail G. Lagoudakis,
Michael L. Littman:
Learning to Select Branching Rules in the DPLL Procedure for Satisfiability.
Electronic Notes in Discrete Mathematics 9: 344-359 (2001) |
2000 |
6 | | Michail G. Lagoudakis,
Michael L. Littman:
Reinforcement Learning for Algorithm Selection.
AAAI/IAAI 2000: 1081 |
5 | | Michail G. Lagoudakis,
Michael L. Littman:
Algorithm Selection using Reinforcement Learning.
ICML 2000: 511-518 |
1999 |
4 | | Michail G. Lagoudakis,
Anthony S. Maida:
Robot Navigation with a Polar Neural Map.
AAAI/IAAI 1999: 965 |
3 | | Bill Z. Manaris,
Valanne MacGyvers,
Michail G. Lagoudakis:
Universal Access to Mobile Computing Devices through Speech Input.
FLAIRS Conference 1999: 286-292 |
2 | EE | Michail G. Lagoudakis:
An IDA Algorithm for Optimal Spare Allocation.
SAC 1999: 486-488 |
1998 |
1 | EE | Michail G. Lagoudakis:
Book Review; Artificial Intelligence and Scientific Method, Donald Gillies.
Journal of Intelligent and Robotic Systems 22(1): 87-95 (1998) |