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105 Results
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Poster
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Wed 9:00 |
Neural Probabilistic Motor Primitives for Humanoid Control Josh Merel · Leonard Hasenclever · Alexandre Galashov · Arun Ahuja · Vu Pham · Greg Wayne · Yee Whye Teh · Nicolas Heess |
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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 |
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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Tue 9:00 |
Value Propagation Networks Nantas Nardelli · Gabriel Synnaeve · Zeming Lin · Pushmeet Kohli · Philip Torr · Nicolas Usunier |
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Poster
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Tue 9:00 |
Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic Mikael Henaff · Alfredo Canziani · Yann LeCun |
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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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Sat 23:45 |
Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models Victor Weixin Liang · Lili Yu · Liang Luo · Srini Iyer · Ning Dong · Chunting Zhou · Gargi Ghosh · Mike Lewis · Luke Zettlemoyer · Victoria Lin |
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Poster
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Tue 14:30 |
Deep reinforcement learning with relational inductive biases Vinicius Zambaldi · David Raposo · Adam Santoro · Victor Bapst · Yujia Li · Igor Babuschkin · Karl Tuyls · David P Reichert · Timothy Lillicrap · Edward Lockhart · Murray Shanahan · Victoria Langston · Razvan Pascanu · Matthew Botvinick · Oriol Vinyals · Peter Battaglia |
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Poster
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Thu 9:00 |
FlowQA: Grasping Flow in History for Conversational Machine Comprehension Hsin-Yuan Huang · Eunsol Choi · Wen-tau Yih |