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Basis Construction and Utilization for Markov Decision Processes Using Graphs
Markov decision process Reinforcement learning Representation discovery
2014/12/18
The ease or difficulty in solving a problemstrongly depends on the way it is represented. For example, consider the task of multiplying the numbers 12 and 24. Now imagine multiplying XII and XXIV. Bot...
Increasing Scalability in Algorithms for Centralized and Decentralized Partially Observable Markov Decision Processes: Efficient Decision-Making and Coordination in Uncertain Environments
Artificial Intelligence Decision Theory Game Theory Machine Learning Multiagent Systems Reasoning Under Uncertainty
2014/12/18
As agents are built for ever more complex environments, methods that consider the uncertainty in the system have strong advantages. This uncertainty is common in domains such as robot navigation, medi...