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118 Results
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Poster
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Wed 9:00 |
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning Ilya Kostrikov · Kumar Agrawal · Debidatta Dwibedi · Sergey Levine · Jonathan Tompson |
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Poster
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Thu 9:00 |
Hierarchical Generative Modeling for Controllable Speech Synthesis Wei-Ning Hsu · Yu Zhang · Ron Weiss · Heiga Zen · Yonghui Wu · Yuxuan Wang · Yuan Cao · Ye Jia · Zhifeng Chen · Jonathan Shen · Patrick Nguyen · Ruoming Pang |
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Poster
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Tue 9:00 |
Context-adaptive Entropy Model for End-to-end Optimized Image Compression Jooyoung Lee · Seunghyun Cho · Seung-Kwon Beack |
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Poster
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Wed 9:00 |
Information-Directed Exploration for Deep Reinforcement Learning Nikolay Nikolov · Johannes Kirschner · Felix Berkenkamp · Andreas Krause |
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Poster
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Thu 9:00 |
Learning to Understand Goal Specifications by Modelling Reward Dzmitry Bahdanau · Felix Hill · Jan Leike · Edward Hughes · Arian Hosseini · Pushmeet Kohli · Edward Grefenstette |
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Poster
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Thu 9:00 |
Complement Objective Training Hao-Yun Chen · Pei-Hsin Wang · Chun-Hao Liu · Shih-Chieh Chang · Jia-Yu Pan · Yu-Ting Chen · Wei Wei · Da-Cheng Juan |
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Poster
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Tue 9:00 |
DPSNet: End-to-end Deep Plane Sweep Stereo Sunghoon Im · Hae-Gon Jeon · Stephen Lin · In Kweon |
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Poster
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Tue 14:30 |
Multi-Domain Adversarial Learning Alice Schoenauer Sebag · Louise E Heinrich · Marc Schoenauer · Michele Sebag · Lani Wu · Steven Altschuler |
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Poster
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Wed 9:00 |
Information asymmetry in KL-regularized RL Alexandre Galashov · Siddhant Jayakumar · Leonard Hasenclever · Dhruva Tirumala · Jonathan Schwarz · Guillaume Desjardins · Wojciech M Czarnecki · Yee Whye Teh · Razvan Pascanu · Nicolas Heess |
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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 |