DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, DJ | ko |
dc.contributor.author | Lee, Sang Wan | ko |
dc.date.accessioned | 2018-07-24T02:51:47Z | - |
dc.date.available | 2018-07-24T02:51:47Z | - |
dc.date.created | 2018-07-16 | - |
dc.date.created | 2018-07-16 | - |
dc.date.created | 2018-07-16 | - |
dc.date.created | 2018-07-16 | - |
dc.date.issued | 2018-01 | - |
dc.identifier.citation | The 6th international winter conference on Brain-computer interface (IEEE BCI 2018), pp.112 - 114 | - |
dc.identifier.uri | http://hdl.handle.net/10203/244484 | - |
dc.description.abstract | Arbitration between model-based (MB) and model-free (MF) reinforcement learning (RL) is key feature of human reinforcement learning. The computational model of arbitration control has been demonstrated to outperform conventional reinforcement learning algorithm, in terms of not only behavioral data but also neural signals. However, this arbitration process does not take full account of contextual changes in environment during learning. By incorporating a Dirichlet process Gaussian mixture model into the arbitration process, we propose a meta-controller for RL that quickly adapts to contextual changes of environment. The proposed model performs better than a conventional model-free RL, model-based RL, and arbitration model. | - |
dc.language | English | - |
dc.publisher | IEEE | - |
dc.title | Context-dependent meta-control for reinforcement learning using a Dirichlet process Gaussian mixture model | - |
dc.type | Conference | - |
dc.identifier.wosid | 000458446600027 | - |
dc.identifier.scopusid | 2-s2.0-85050829402 | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 112 | - |
dc.citation.endingpage | 114 | - |
dc.citation.publicationname | The 6th international winter conference on Brain-computer interface (IEEE BCI 2018) | - |
dc.identifier.conferencecountry | KO | - |
dc.identifier.conferencelocation | High1 Resort | - |
dc.identifier.doi | 10.1109/IWW-BCI.2018.8311512 | - |
dc.contributor.localauthor | Lee, Sang Wan | - |
dc.contributor.nonIdAuthor | Kim, DJ | - |
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