David Yunis

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 8

Top Topics

Reinforcement Learning

Top Venues

Publications

Takuma Yoneda, Jiading Fang, Peng Li, Huanyu Zhang, Tianchong Jiang, Shengjie Lin, Ben Picker, David Yunis, Hongyuan Mei, Matthew R. Walter
Statler: State-Maintaining Language Models for Embodied Reasoning. ICRA (2024)
David Yunis, Justin Jung, Falcon Z. Dai, Matthew R. Walter
Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning. CoRR (2023)
Xiao Zhang, David Yunis, Michael Maire
Deciphering 'What' and 'Where' Visual Pathways from Spectral Clustering of Layer-Distributed Neural Representations. CoRR (2023)
Takuma Yoneda, Jiading Fang, Peng Li, Huanyu Zhang, Tianchong Jiang, Shengjie Lin, Ben Picker, David Yunis, Hongyuan Mei, Matthew R. Walter
Statler: State-Maintaining Language Models for Embodied Reasoning. CoRR (2023)
Charles B. Schaff, David Yunis, Ayan Chakrabarti, Matthew R. Walter
Jointly Learning to Construct and Control Agents using Deep Reinforcement Learning. ICRA (2019)
Charles B. Schaff, David Yunis, Ayan Chakrabarti, Matthew R. Walter
Jointly Learning to Construct and Control Agents using Deep Reinforcement Learning. CoRR (2018)
Charles B. Schaff, David Yunis, Ayan Chakrabarti, Matthew R. Walter
Jointly Optimizing Placement and Inference for Beacon-based Localization. CoRR (2017)
Charles B. Schaff, David Yunis, Ayan Chakrabarti, Matthew R. Walter
Jointly optimizing placement and inference for beacon-based localization. IROS (2017)