|
Workshop
|
|
Memory-Efficient Reinforcement Learning with Priority based on Surprise and On-policyness
Ryosuke Unno · Yoshimasa Tsuruoka
|
|
|
Workshop
|
|
Symbolic-Model-Based Reinforcement Learning
Pierre-alexandre Kamienny · Sylvain Lamprier
|
|
|
Workshop
|
|
Clinically-guided Prototype Learning and Its Use for Explanation in Alzheimer's Disease Identification
Ahmad Wisnu Mulyadi · Wonsik Jung · Kwanseok Oh · Jee Seok Yoon · Heung-Il Suk
|
|
|
Workshop
|
|
Clinically-guided Prototype Learning and Its Use for Explanation in Alzheimer's Disease Identification
Ahmad Wisnu Mulyadi · Wonsik Jung · Kwanseok Oh · Jee Seok Yoon · Heung-Il Suk
|
|
|
Workshop
|
|
Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning
Remo Sasso · Matthia Sabatelli · Marco Wiering
|
|
|
Poster
|
Tue 9:00
|
A Unified Framework for Alternating Offline Model Training and Policy Learning
Shentao Yang · Shujian Zhang · Yihao Feng · Mingyuan Zhou
|
|
|
Poster
|
Wed 9:00
|
A Closer Look at Prototype Classifier for Few-shot Image Classification
Mingcheng Hou · Issei Sato
|
|
|
Workshop
|
|
Learning from physics-based features improves protein property prediction
Amy Wang · Ava Soleimany · Alex X Lu · Kevin Yang
|
|
|
Workshop
|
Fri 9:30
|
Semi-Supervised Learning and Data Augmentation for Wearable-based Health Monitoring System in the Wild
Han Yu · Akane Sano
|
|
|
Poster
|
|
Semi-supervised Semantic Segmentation with Prototype-based Consistency Regularization
Haiming Xu · Lingqiao Liu · Qiuchen Bian · Zhen Yang
|
|
|
Poster
|
|
Model-Based Opponent Modeling
XiaoPeng Yu · Jiechuan Jiang · Wanpeng Zhang · Haobin Jiang · Zongqing Lu
|
|
|
Poster
|
Wed 14:00
|
ProtoX: Explaining a Reinforcement Learning Agent via Prototyping
Ronilo Ragodos · Tong Wang · Qihang Lin · Xun Zhou
|
|
