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24 Results
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Poster
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Sun 0:15 |
Keynote #5: Jonas Pfeiffer – Google DeepMind Eric Nalisnick · Akihiro Matsukawa · Yee Whye Teh · Dilan Gorur · Balaji Lakshminarayanan |
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Poster
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Wed 14:30 |
Initialized Equilibrium Propagation for Backprop-Free Training Peter OConnor · Efstratios Gavves · Max Welling |
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Poster
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Wed 9:00 |
Probabilistic Planning with Sequential Monte Carlo methods Alexandre Piche · Valentin Thomas · Cyril Ibrahim · Yoshua Bengio · Christopher Pal |
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Poster
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Thu 14:30 |
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids Yunzhu Li · Jiajun Wu · Russ Tedrake · Joshua B Tenenbaum · Antonio Torralba |
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Poster
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Tue 9:00 |
StrokeNet: A Neural Painting Environment Ningyuan Zheng · Yf Jiang · Dingjiang Huang |
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Poster
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Wed 9:00 |
Deep Online Learning Via Meta-Learning: Continual Adaptation for Model-Based RL Anusha Nagabandi · Chelsea Finn · Sergey Levine |
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Poster
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Wed 9:00 |
Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control Kendall Lowrey · Aravind Rajeswaran · Sham M Kakade · Emanuel Todorov · Igor Mordatch |
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Poster
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Wed 9:00 |
Modeling the Long Term Future in Model-Based Reinforcement Learning Nan Rosemary Ke · Amanpreet Singh · Ahmed Touati · Anirudh Goyal · Yoshua Bengio · Devi Parikh · Dhruv Batra |
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Poster
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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 |
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Poster
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Tue 14:30 |
GO Gradient for Expectation-Based Objectives Yulai Cong · Miaoyun Zhao · Ke Bai · Lawrence Carin |
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Poster
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Wed 9:00 |
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search Lars Buesing · Theophane Weber · Yori Zwols · Nicolas Heess · Sebastien Racaniere · Arthur Guez · Jean-Baptiste Lespiau |
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Poster
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Wed 14:30 |
Query-Efficient Hard-label Black-box Attack: An Optimization-based Approach Minhao Cheng · Thong M Le · Pin-Yu Chen · Huan Zhang · Jinfeng Yi · Cho-Jui Hsieh |