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Poster
Thu 9:00 Provably Feedback-Efficient Reinforcement Learning via Active Reward Learning
Dingwen Kong · Lin Yang
Poster
Thu 14:00 First Contact: Unsupervised Human-Machine Co-Adaptation via Mutual Information Maximization
Siddharth Reddy · Sergey Levine · Anca Dragan
Workshop
Fri 12:00 Human and Machine Learning for Assistive and Rehabilitation Robots
Brenna Argall
Workshop
Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences
Lin Guan · Karthik Valmeekam · Subbarao Kambhampati
Workshop
Fri 6:30 Human in the Loop Learning (HiLL) Workshop at NeurIPS 2022
Shanghang Zhang · Hao Dong · Wei Pan · Pradeep Ravikumar · Vittorio Ferrari · Fisher Yu · Xin Wang · Zihan Ding
Poster
Thu 9:00 Representing Spatial Trajectories as Distributions
Didac Suris Coll-Vinent · Carl Vondrick
Poster
Thu 9:00 Modeling Human Exploration Through Resource-Rational Reinforcement Learning
Marcel Binz · Eric Schulz
Workshop
Offline Robot Reinforcement Learning with Uncertainty-Guided Human Expert Sampling
Ashish Kumar · Ilya Kuzovkin
Workshop
The Expertise Problem: Learning from Specialized Feedback
Oliver Daniels-Koch · Rachel Freedman
Workshop
How do humans and machine learning models track multiple objects through occlusion?
Benjamin Peters · Eivinas Butkus · Nikolaus Kriegeskorte
Workshop
Learning Semantics-Aware Locomotion Skills from Human Demonstrations
Yuxiang Yang · Xiangyun Meng · Wenhao Yu · Tingnan Zhang · Jie Tan · Byron Boots
Workshop
On- and Offline Multi-agent Reinforcement Learning for Disease Mitigation using Human Mobility Data
Sofia Hurtado · Radu Marculescu