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- Apprenticeship_learning abstract "Apprenticeship learning, or apprenticeship via inverse reinforcement learning (AIRP), is a concept in the field of artificial intelligence and machine learning, developed by Pieter Abbeel, Associate Professor in Berkeley's EECS department, and Andrew Ng, Associate Professor in Stanford University's Computer Science Department. AIRP deals with \"Markov decision process where we are not explicitly given a reward function, but where instead we can observe an expert demonstrating the task that we want to learn to perform\"AIRP concept is closely related to reinforcement learning (RL) that is a sub-area of machine learning concerned with how an agent ought to take actions in an environment so as to maximize some notion of long-term reward. AIRP algorithms are used when the reward function is unknown. The algorithms use observations of the behavior of an expert to teach the agent the optimal actions in certain states of the environment.AIRP is a special case of the general area of learning from demonstration (LfD), where the goal is to learn a complex task by observing a set of expert traces (demonstrations). AIRP is the intersection of LfD and RL.".
- Apprenticeship_learning wikiPageExternalLink citation.cfm?id=1015430.
- Apprenticeship_learning wikiPageID "19463198".
- Apprenticeship_learning wikiPageLength "1779".
- Apprenticeship_learning wikiPageOutDegree "13".
- Apprenticeship_learning wikiPageRevisionID "707791483".
- Apprenticeship_learning wikiPageWikiLink Andrew_Ng.
- Apprenticeship_learning wikiPageWikiLink Artificial_intelligence.
- Apprenticeship_learning wikiPageWikiLink Category:Machine_learning.
- Apprenticeship_learning wikiPageWikiLink Computer_science.
- Apprenticeship_learning wikiPageWikiLink Electrical_engineering.
- Apprenticeship_learning wikiPageWikiLink Machine_learning.
- Apprenticeship_learning wikiPageWikiLink Markov_decision_process.
- Apprenticeship_learning wikiPageWikiLink Reinforcement_learning.
- Apprenticeship_learning wikiPageWikiLink Stanford_University.
- Apprenticeship_learning wikiPageWikiLink University_of_California,_Berkeley.
- Apprenticeship_learning wikiPageWikiLinkText "apprenticeship learning".
- Apprenticeship_learning wikiPageUsesTemplate Template:Orphan.
- Apprenticeship_learning wikiPageUsesTemplate Template:Reflist.
- Apprenticeship_learning subject Category:Machine_learning.
- Apprenticeship_learning hypernym Concept.
- Apprenticeship_learning comment "Apprenticeship learning, or apprenticeship via inverse reinforcement learning (AIRP), is a concept in the field of artificial intelligence and machine learning, developed by Pieter Abbeel, Associate Professor in Berkeley's EECS department, and Andrew Ng, Associate Professor in Stanford University's Computer Science Department.".
- Apprenticeship_learning label "Apprenticeship learning".
- Apprenticeship_learning sameAs Q4781707.
- Apprenticeship_learning sameAs m.04n1tc_.
- Apprenticeship_learning sameAs Q4781707.
- Apprenticeship_learning wasDerivedFrom Apprenticeship_learning?oldid=707791483.
- Apprenticeship_learning isPrimaryTopicOf Apprenticeship_learning.