Workshop
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How much human-like visual experience do current self-supervised learning algorithms need in order to achieve human-level object recognition?
Emin Orhan
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Workshop
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Human-AI Coordination via Human-Regularized Search and Learning
Hengyuan Hu · David Wu · Adam Lerer · Jakob Foerster · Noam Brown
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Workshop
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Continually Learned Pavlovian Signalling Without Forgetting for Human-in-the-Loop Robotic Control
Adam Parker · Michael Dawson · Patrick M Pilarski
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Workshop
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Fri 11:10
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Nano: Nested Human-in-the-Loop Reward Learning for Controlling Distribution of Generated Text
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Poster
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Thu 9:00
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Nocturne: a scalable driving benchmark for bringing multi-agent learning one step closer to the real world
Eugene Vinitsky · Nathan Lichtlé · Xiaomeng Yang · Brandon Amos · Jakob Foerster
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Workshop
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Nano: Nested Human-in-the-Loop Reward Learning for Controlling Distribution of Generated Text
Xiang Fan · · Paul Pu Liang · Ruslan Salakhutdinov · Louis-Philippe Morency
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Workshop
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Learning from Data through Human-Machine Collaboration
Sara Pido · Pietro Crovari · Pietro Pinoli
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Poster
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Tue 9:00
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Few-Shot Continual Active Learning by a Robot
Ali Ayub · Carter Fendley
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Workshop
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Fri 11:30
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Mixed-Reality Human-in-the-Loop Learning: Opportunities and Challenges
Dan Bohus
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Poster
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Thu 14:00
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Assistive Teaching of Motor Control Tasks to Humans
Megha Srivastava · Erdem Biyik · Suvir Mirchandani · Noah Goodman · Dorsa Sadigh
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Poster
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Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning
Yuanpei Chen · Tianhao Wu · Shengjie Wang · Xidong Feng · Jiechuan Jiang · Zongqing Lu · Stephen McAleer · Hao Dong · Song-Chun Zhu · Yaodong Yang
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Poster
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Wed 14:00
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Touch and Go: Learning from Human-Collected Vision and Touch
Fengyu Yang · Chenyang Ma · Jiacheng Zhang · Jing Zhu · Wenzhen Yuan · Andrew Owens
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