Searching for authors named "Mohammad Ghavamzadeh" – sorted by Relevance.
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Learning to Communicate and Act in Cooperative Multiagent Systems Using Hierarchical Reinforcement Learning
- author of this paper is a student. Mohammad Ghavamzadeh & Sridhar Mahadevan Department of Computer
- Cited by 4 (0 self) – Add To MetaCart
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A Multiagent Reinforcement Learning Algorithm by Dynamically Merging Markov Decision Processes
- Processes Mohammad Ghavamzadeh Department of Computer Science University of Massachusetts Amherst Amherst
- Cited by 3 (0 self) – Add To MetaCart
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Learning to communicate and act using hierarchical reinforcement learning
- Learning to Communicate and Act using Hierarchical Reinforcement Learning Mohammad Ghavamzadeh
- Cited by 5 (1 self) – Add To MetaCart
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Bayesian policy gradient algorithms
- Bayesian Policy Gradient Algorithms Mohammad Ghavamzadeh Yaakov Engel Department of Computing
- Cited by 1 (1 self) – Add To MetaCart
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Continuous-Time Hierarchical Reinforcement Learning
- Continuous-Time Hierarchical Reinforcement Learning Mohammad Ghavamzadeh ghavamza
- Cited by 15 (7 self) – Add To MetaCart
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Hierarchically Optimal Average Reward Reinforcement Learning
- Hierarchically Optimal Average Reward Reinforcement Learning Mohammad Ghavamzadeh mgh
- Cited by 8 (2 self) – Add To MetaCart
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Bayesian Actor-Critic Algorithms
- Bayesian Actor-Critic Algorithms Mohammad Ghavamzadeh mgh@(email omitted); Yaakov Engel yaki
- Cited by 1 (0 self) – Add To MetaCart
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Hierarchical Multiagent Reinforcement Learning
- 1 Hierarchical Multiagent Reinforcement Learning Mohammad Ghavamzadeh Sridhar Mahadevan CMPSCI
- Cited by 9 (5 self) – Add To MetaCart
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Hierarchical policy gradient algorithms
- Hierarchical Policy Gradient Algorithms Mohammad Ghavamzadeh mgh@(email omitted); Sridhar Mahadevan
- Cited by 7 (2 self) – Add To MetaCart
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Extending Hierarchical Reinforcement Learning to Continuous-Time, Average-Reward, and Multi-Agent Models
- to Continuous-Time, Average-Reward, and Multi-Agent Models Mohammad Ghavamzadeh mgh@(email omitted); Sridhar
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