Multiagent planning and learning using random decompositions and adaptive representations

Gelijkaardige items

• Multiagent planning with Bayesian nonparametric asymptotics
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• Decentralized teaching and learning in cooperative multiagent systems
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• Learning to teach and meta-learning for sample-efficient multiagent reinforcement learning
  door: Kim, Dong Ki(Aeronautics and astronautics scientist)Massachusetts Institute of Technology.
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• Model-based planning through constraint and causal order decomposition
  door: Chung, Seung H. (Seung Hwa), 1975-
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• Hierarchical decomposition of multi-agent Markov decision processes with application to health aware planning
  door: Chen, Yu Fan, Ph. D. Massachusetts Institute of Technology
  Gepubliceerd in: (2015)