Publications by Ghavamzadeh, Mohammad
In Journal (refereed)
| 1. | M. Ghavamzadeh, S. Mahadevan, R. Makar. "Hierarchical Multi Agent Reinforcement Learning". Journal of Autonomous Agents and Multi-Agent Systems, June 2007.   |
| 2. | M. Ghavamzadeh, S. Mahadevan. "Hierarchical Average Reward Reinforcement Learning". Journal of Machine Learning Research (JMLR), 13(2), pp 197-229, June 2006. |
| 3. | A. Eydgahi, M. Ghavamzadeh. "Complementary Root Locus Revisited". IEEE Transactions on Education, 44(2), pp 137-143, June 2001. |
| 4. | A. Eydgahi, M. Ghavamzadeh. "Properties of Branches Passing through Infinity in Root Locus Method". Journal of Faculty of Engineering University of Tehran, pp 1-10, December 1996. |
| 5. | A. Eydgahi, M. Ghavamzadeh. "Branches Passing through Infinity in Root Locus Method". Journal of Faculty of Engineering University of Tehran, pp 9-15, June 1996. |
In Conference (refereed)
| 6. | S. Bhatnagar, R. Sutton, M. Ghavamzadeh, M. Lee. "Incremental Natural Actor-Critic Algorithms". Neural Information Processing Systems (NIPS), December 2007. |
| 7. | M. Ghavamzadeh, Y. Engel. " Bayesian Actor-Critic Algorithms". International Conference on Machine Learning (ICML), pp 297-304, June 2007. |
| 8. | M. Ghavamzadeh, Y. Engel. "Bayesian Policy Gradient Algorithms". Neural Information Processing Systems (NIPS), December 2006. |
| 9. | M. Ghavamzadeh, S. Mahadevan. "Learning to Communicate and Act using Hierarchical Reinforcement Learning". Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), July 2004. |
| 10. | M. Ghavamzadeh, S. Mahadevan. "Hierarchical Policy Gradient Algorithms". International Conference on Machine Learning (ICML), Washington, DC USA, pp 226-233, August 2003. |
| 11. | M. Ghavamzadeh, S. Mahadevan. "Hierarchically Optimal Average Reward Reinforcement Learning". International Conference on Machine Learning (ICML), Sydney Australia, pp 195-202, July 2002.  |
| 12. | M. Ghavamzadeh, S. Mahadevan. "Multiagent Reinforcement Learning Algorithm by Dynamically Merging Markov Decision Processes". Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), pp 845-846, July 2002. |
| 13. | M. Ghavamzadeh, S. Mahadevan. "Continuous-Time Hierarchical Reinforcement Learning". International Conference on Machine Learning (ICML), Williams College, pp 186-193, July 2001. |
| 14. | M. Ghavamzadeh, S. Mahadevan. "Hierarchical Multi-Agent Reinforcement Learning". pp 246-253, June 2001. |
| 15. | M. Ghavamzadeh, C. Lucas, S. Arani. "Forecasting the International Oil and Gold Prices Using Artificial Neural Networks". September 1997. |
