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Poster
Wed 14:30 Learning Self-Imitating Diverse Policies
Tanmay Gangwani · Qiang Liu · Jian Peng
Workshop
Mon 10:00 Self-supervised object-centric representations for reinforcement learning
Tejas Kulkarni
Poster
Tue 14:30 On Self Modulation for Generative Adversarial Networks
Ting Chen · Mario Lucic · Neil Houlsby · Sylvain Gelly
Poster
Tue 9:00 Learning to Infer and Execute 3D Shape Programs
Yonglong Tian · Andrew Luo · Xingyuan Sun · Kevin Ellis · William Freeman · Joshua B Tenenbaum · Jiajun Wu
Poster
Tue 9:00 Unsupervised Discovery of Parts, Structure, and Dynamics
Zhenjia Xu · Zhijian Liu · Chen Sun · Kevin Murphy · William Freeman · Joshua B Tenenbaum · Jiajun Wu
Poster
Thu 14:30 Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion
Ruiqi Gao · Jianwen Xie · Song-Chun Zhu · Yingnian Wu
Poster
Tue 14:30 SOM-VAE: Interpretable Discrete Representation Learning on Time Series
Vincent Fortuin · Matthias Hüser · Francesco Locatello · Heiko Strathmann · Gunnar Rätsch
Poster
Wed 9:00 Adaptive Posterior Learning: few-shot learning with a surprise-based memory module
Tiago Ramalho · Marta Garnelo
Poster
Wed 9:00 Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
Yuping Luo · Huazhe Xu · Yuanzhi Li · Yuandong Tian · Trevor Darrell · Tengyu Ma
Poster
Thu 9:00 Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity
Thomas Miconi · Aditya Rawal · Jeff Clune · Kenneth O. Stanley
Poster
Wed 9:00 M^3RL: Mind-aware Multi-agent Management Reinforcement Learning
Tianmin Shu · Yuandong Tian
Poster
Wed 9:00 Reasoning About Physical Interactions with Object-Oriented Prediction and Planning
Michael Janner · Sergey Levine · William Freeman · Joshua B Tenenbaum · Chelsea Finn · Jiajun Wu