Global ETD Search
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Showing 1 to 4 of 4 for “"Action Selection methods"”.
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Online Action Selection Methods for Multi-Agent Navigation
… any static element in the environment. Existing methods either compute the motion of each agent centrally or allow each agent to compute its own motion. Using a central controller limits the number of agents that can be controlled in real time, while using a local method produces motions that are …
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Reinforcement learning in continuous state- and action-space
… the inability to store the values of all state-action pairs in a lookup table, due to both storage limitations and the inability to visit all states sufficiently often to learn the correct values. This can be overcome with the use of function approximation techniques with generalisation …
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Learning manipulative skills using an artificial intelligence approach.
… subsystem where the decision about the next action took place.All the algorithms were implemented and tested on simulated data before being applied to the real-life peg-in-hole insertion. The results are presented in the form of graphs and tables.Evaluation of the environmental uncertainty …