Movement SkillAcquisition using Imitationand Reinforcement Learning
This thesis focuses on having a robot learn to play the game of darts. Playing darts involves multiple tasks. For e.g. how to throw a dart and where to target on the board. It has been shown that with a few demonstrations by the user, the robot can learn how to produce trajectories for hitting a giv...
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KTH, Skolan för datavetenskap och kommunikation (CSC)
2013
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-138107 |
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ndltd-UPSALLA1-oai-DiVA.org-kth-1381072018-01-12T05:12:31ZMovement SkillAcquisition using Imitationand Reinforcement LearningengPERVEZ, AFFANKTH, Skolan för datavetenskap och kommunikation (CSC)2013Computer SciencesDatavetenskap (datalogi)This thesis focuses on having a robot learn to play the game of darts. Playing darts involves multiple tasks. For e.g. how to throw a dart and where to target on the board. It has been shown that with a few demonstrations by the user, the robot can learn how to produce trajectories for hitting a given point on the board; with improvement in accuracy along with the experience. On the other hand we showed how a robot can discover regions for hitting on the board so that it can maximize its expected score. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-138107Trita-CSC-E, 1653-5715 ; 13:116application/pdfinfo:eu-repo/semantics/openAccess |
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NDLTD |
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English |
| format |
Others
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| sources |
NDLTD |
| topic |
Computer Sciences Datavetenskap (datalogi) |
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Computer Sciences Datavetenskap (datalogi) PERVEZ, AFFAN Movement SkillAcquisition using Imitationand Reinforcement Learning |
| description |
This thesis focuses on having a robot learn to play the game of darts. Playing darts involves multiple tasks. For e.g. how to throw a dart and where to target on the board. It has been shown that with a few demonstrations by the user, the robot can learn how to produce trajectories for hitting a given point on the board; with improvement in accuracy along with the experience. On the other hand we showed how a robot can discover regions for hitting on the board so that it can maximize its expected score. |
| author |
PERVEZ, AFFAN |
| author_facet |
PERVEZ, AFFAN |
| author_sort |
PERVEZ, AFFAN |
| title |
Movement SkillAcquisition using Imitationand Reinforcement Learning |
| title_short |
Movement SkillAcquisition using Imitationand Reinforcement Learning |
| title_full |
Movement SkillAcquisition using Imitationand Reinforcement Learning |
| title_fullStr |
Movement SkillAcquisition using Imitationand Reinforcement Learning |
| title_full_unstemmed |
Movement SkillAcquisition using Imitationand Reinforcement Learning |
| title_sort |
movement skillacquisition using imitationand reinforcement learning |
| publisher |
KTH, Skolan för datavetenskap och kommunikation (CSC) |
| publishDate |
2013 |
| url |
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-138107 |
| work_keys_str_mv |
AT pervezaffan movementskillacquisitionusingimitationandreinforcementlearning |
| _version_ |
1718606322949160960 |