Mohammad Ghavamzadeh

	2008
13		Amir Massoud Farahmand, Mohammad Ghavamzadeh, Csaba Szepesvári, Shie Mannor: Regularized Fitted Q-Iteration: Application to Planning. EWRL 2008: 55-68
12		Amir Massoud Farahmand, Mohammad Ghavamzadeh, Csaba Szepesvári, Shie Mannor: Regularized Policy Iteration. NIPS 2008: 441-448
	2007
11		Mohammad Ghavamzadeh, Yaakov Engel: Bayesian actor-critic algorithms. ICML 2007: 297-304
10		Shalabh Bhatnagar, Richard S. Sutton, Mohammad Ghavamzadeh, Mark Lee: Incremental Natural Actor-Critic Algorithms. NIPS 2007
	2006
9		Mohammad Ghavamzadeh, Yaakov Engel: Bayesian Policy Gradient Algorithms. NIPS 2006: 457-464
8		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		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		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		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

Coauthor Index

1	Sarabjot S. Anand (Sarab S. Anand)	[7]
2	Bettina Berendt	[7]
3	Shalabh Bhatnagar	[10]
4	Piero P. Bonissone	[7]
5	William Cheetham	[7]
6	Silvia Coradeschi	[7]
7	Daniel D. Corkill	[7]
8	Frank Dignum (F. P. M. Dignum)	[7]
9	Virginia Dignum	[7]
10	Yaakov Engel	[9] [11]
11	Amir Massoud Farahmand	[12] [13]
12	Daniela Pucci de Farias	[7]
13	Dan Fu	[7]
14	Kai Goebel	[7]
15	Hans W. Guesgen	[7]
16	Andreas Hotho	[7]
17	Randolph M. Jones	[7]
18	Catholijn M. Jonker	[7]
19	Mark Lee	[10]
20	Sridhar Mahadevan	[1] [2] [3] [4] [5] [6] [8]
21	Rajbala Makar	[2] [8]
22	Shie Mannor	[7] [12] [13]
23	Bamshad Mobasher	[7]
24	Ion Muslea	[7]
25	Jeff Orkin	[7]
26	Doina Precup	[7]
27	Michael T. Rosenstein	[7]
28	Alessandro Saffiotti	[7]
29	Matthias Scheutz	[7]
30	Leen-Kiat Soh	[7]
31	Richard S. Sutton	[10]
32	Csaba Szepesvári	[12] [13]
33	Georgios Theocharous	[7]
34	Robert E. Wray III	[7]