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Publications of Author

1. Rajbala Makar, Sridhar Mahadevan, Mohammad Ghavamzadeh
   Hierarchical multi-agent reinforcement learning. [Citation Graph (0, 0)][DBLP]
   Agents, 2001, pp:246-253 [Conf]
   
2. Mohammad Ghavamzadeh, Sridhar Mahadevan
   A multiagent reinforcement learning algorithm by dynamically merging markov decision processes. [Citation Graph (0, 0)][DBLP]
   AAMAS, 2002, pp:845-846 [Conf]
   
3. Mohammad Ghavamzadeh, Sridhar Mahadevan
   Learning to Communicate and Act Using Hierarchical Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
   AAMAS, 2004, pp:1114-1121 [Conf]
   
4. Mohammad Ghavamzadeh, Sridhar Mahadevan
   Continuous-Time Hierarchical Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
   ICML, 2001, pp:186-193 [Conf]
   
5. Mohammad Ghavamzadeh, Sridhar Mahadevan
   Hierarchically Optimal Average Reward Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
   ICML, 2002, pp:195-202 [Conf]
   
6. Mohammad Ghavamzadeh, Sridhar Mahadevan
   Hierarchical Policy Gradient Algorithms. [Citation Graph (0, 0)][DBLP]
   ICML, 2003, pp:226-233 [Conf]
   
7. Mohammad Ghavamzadeh, Sridhar Mahadevan, Rajbala Makar
   Hierarchical multi-agent reinforcement learning. [Citation Graph (0, 0)][DBLP]
   Autonomous Agents and Multi-Agent Systems, 2006, v:13, n:2, pp:197-229 [Journal]
   
8. 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. [Citation Graph (0, 0)][DBLP]
   AI Magazine, 2005, v:26, n:1, pp:103-108 [Journal]
   
9. Mohammad Ghavamzadeh, Yaakov Engel
   Bayesian actor-critic algorithms. [Citation Graph (0, 0)][DBLP]
   ICML, 2007, pp:297-304 [Conf]
   
10. Mohammad Ghavamzadeh, Yaakov Engel
    Bayesian Policy Gradient Algorithms. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:457-464 [Conf]
    
11. 
    Bayesian Multi-Task Reinforcement Learning. [Citation Graph (, )][DBLP]
    
    
12. 
    Analysis of a Classification-based Policy Iteration Algorithm. [Citation Graph (, )][DBLP]
    
    
13. 
    Finite-Sample Analysis of LSTD. [Citation Graph (, )][DBLP]
    
    
14. 
    Incremental Natural Actor-Critic Algorithms. [Citation Graph (, )][DBLP]
    
    
15. 
    Regularized Policy Iteration. [Citation Graph (, )][DBLP]
    
    
16. 
    Regularized Fitted Q-Iteration: Application to Planning. [Citation Graph (, )][DBLP]