[NOV 2, 2018] Undergraduate student Yoondo Sung (individual study) and Yewon Kang (individual study) have separately received the outstanding poster award at the 2018 Korean Human Brain Mapping conference. Congratulations!
The paper is entitled
“Effect of dpression on prefrontal meta-control of model-free and model-based reinforcement learning “ (Yoondo Sung),
”Decoupling novelty and uncertainty representation in the human brain during learning and inference” (Yewon Kang).
[2018 Spring @KAIST]
[June 20, 2018] We have six papers accepted to IEEE SMC 2018 (acceptance rate ~ 50%). Congratulations!
[April 21, 2018] Graduate student Junyeol Kim has received the outstanding paper award at the 2018 Korean Institute of Intelligent Systems conference. The paper is entitled “Single agent model-based reinforcement learning with state-transition prediction”. Congratulations!
[Jan 18, 2018] We have five abstracts accepted to Cosyne 2018 ('18 acceptance rate ~ 50%). Congratulations!
- Metacognitive exploration in a completely unknown state space
- Dynamic encoding of reward and latent task structures in human reinforcement learning
- Depressive model-based and model-free reinforcement learning
- Maximally separating and correlating model-based and model-free reinforcement learning
- Designing an experiment without a human experimenter
[DEC 1, 2017] A team of Sang Hyun Yi, Young Ho Kang, Jun Yeol Kim, and Yoondo Sung ranked 3rd in AI World Cup. The team achieved the highest score in the qualifying round. Congratulations!
[NOV 24, 2017] Undergraduate student Haram Joo (individual study) has received the best paper award at the 2017 Korean Institute of Intelligent Systems conference. The paper is entitled “Model-based reinforcement learning using probabilistic simulation”. Congratulations!
[NOV 1, 2017] A team of Jung Bae Park, a MS student of lab, and Ja-Ryong Lee from CS dept. was selected as one of the six AI teams in the Korea AI music competition. (the music is available online http://visla.kr/?p=64375 ) On Nov 1st, the team's AI music composer, "Humelo", has been featured in the event "MUSIC X AI with SM Entertainment", co-organized by Korea Creative Content Agency, SM entertainment, Futureplay, and Korea national univ of arts, and Google Seoul campus. The demonstration of the team (Play with Errors) has received media coverage (JoongAng newspaper, Digital times - interview, Bloter - interview, China focus - interview, Yonhap news, Donga newspaper). Congratulations to both of them!
[NOV 3, 2017] Undergraduate student Ji Eun Lim (graduation study) has received the best paper award at the 2017 Korean Society of Human Brain Mapping fall conference. The paper is entitled “EEG Synchrony Patterns of Autism Spectrum Disorder”. Congratulations!
[OCT 27, 2017] Su Jin An has received the best paper award at the 18th International Symposium on Advanced Intelligent Systems. The paper is entitled “Metacognitive Reinforcement Learning”. Congratulations!
[APR 24, 2017] Su Jin An has received the best paper award at the 2017 Korean Institute of Intelligent Systems conference. The paper is entitled “On the Exploration-Exploitation Dilemma using uncertainty based state space learning algorithm”. Congratulations!
[2017 Spring @KAIST]
[MAR 1, 2017] The team of Benedetto de Martino (UCL) and Sang Wan Lee (KAIST) has been selected as a recipient of the 2016 Google Faculty Research Award in computational neuroscience (link).
[OCT 29, 2016] Two undergraduate students (Jung Bae Park - individual study, Juno Kim - graduation research) have received the best paper award at the 2016 Korean Institute of Intelligent Systems conference. The paper is entitled “Multi-agent Cognitive Policy Learning: Reinforcement Learning Through Competition”. Congratulations!
[SEP 1, 2016] Our lab has been awarded a research grant (1.1 Million USD over 3 years) from Samsung future technology foundation, for a project entitled "AI-human coevolution engine". It is a very competitive grant program; Samsung awarded only six research teams this year in the intelligence for smart machine category. Our project aims to develop a framework that boosts human learning and inference performance through a combination of model-based fMRI/EEG techniques and various machine learning algorithms.
(press: yonhapnews, korea industry news, metro, newspim)