| 2007 |
|---|
| 10 | EE | Mohammad Ghavamzadeh,
Yaakov Engel:
Bayesian actor-critic algorithms.
ICML 2007: 297-304 |
| 2006 |
|---|
| 9 | EE | Mohammad Ghavamzadeh,
Yaakov Engel:
Bayesian Policy Gradient Algorithms.
NIPS 2006: 457-464 |
| 8 | EE | Mohammad Ghavamzadeh,
Sridhar Mahadevan,
Rajbala Makar:
Hierarchical multi-agent reinforcement learning.
Autonomous Agents and Multi-Agent Systems 13(2): 197-229 (2006) |
| 2005 |
|---|
| 7 | | 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:
The Workshop Program at the Nineteenth National Conference on Artificial Intelligence.
AI Magazine 26(1): 103-108 (2005) |
| 2004 |
|---|
| 6 | EE | Mohammad Ghavamzadeh,
Sridhar Mahadevan:
Learning to Communicate and Act Using Hierarchical Reinforcement Learning.
AAMAS 2004: 1114-1121 |
| 2003 |
|---|
| 5 | | Mohammad Ghavamzadeh,
Sridhar Mahadevan:
Hierarchical Policy Gradient Algorithms.
ICML 2003: 226-233 |
| 2002 |
|---|
| 4 | EE | Mohammad Ghavamzadeh,
Sridhar Mahadevan:
A multiagent reinforcement learning algorithm by dynamically merging markov decision processes.
AAMAS 2002: 845-846 |
| 3 | | Mohammad Ghavamzadeh,
Sridhar Mahadevan:
Hierarchically Optimal Average Reward Reinforcement Learning.
ICML 2002: 195-202 |
| 2001 |
|---|
| 2 | EE | Rajbala Makar,
Sridhar Mahadevan,
Mohammad Ghavamzadeh:
Hierarchical multi-agent reinforcement learning.
Agents 2001: 246-253 |
| 1 | | Mohammad Ghavamzadeh,
Sridhar Mahadevan:
Continuous-Time Hierarchical Reinforcement Learning.
ICML 2001: 186-193 |
