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Workshop
How much human-like visual experience do current self-supervised learning algorithms need in order to achieve human-level object recognition?
Emin Orhan
Workshop
Human-AI Coordination via Human-Regularized Search and Learning
Hengyuan Hu · David Wu · Adam Lerer · Jakob Foerster · Noam Brown
Workshop
Continually Learned Pavlovian Signalling Without Forgetting for Human-in-the-Loop Robotic Control
Adam Parker · Michael Dawson · Patrick M Pilarski
Workshop
Fri 11:10 Nano: Nested Human-in-the-Loop Reward Learning for Controlling Distribution of Generated Text
Poster
Thu 9:00 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
Workshop
Nano: Nested Human-in-the-Loop Reward Learning for Controlling Distribution of Generated Text
Xiang Fan · · Paul Pu Liang · Ruslan Salakhutdinov · Louis-Philippe Morency
Workshop
Learning from Data through Human-Machine Collaboration
Sara Pido · Pietro Crovari · Pietro Pinoli
Poster
Tue 9:00 Few-Shot Continual Active Learning by a Robot
Ali Ayub · Carter Fendley
Workshop
Fri 11:30 Mixed-Reality Human-in-the-Loop Learning: Opportunities and Challenges
Dan Bohus
Poster
Thu 14:00 Assistive Teaching of Motor Control Tasks to Humans
Megha Srivastava · Erdem Biyik · Suvir Mirchandani · Noah Goodman · Dorsa Sadigh
Poster
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
Poster
Wed 14:00 Touch and Go: Learning from Human-Collected Vision and Touch
Fengyu Yang · Chenyang Ma · Jiacheng Zhang · Jing Zhu · Wenzhen Yuan · Andrew Owens