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Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning.

H. Furuta, T. Matsushima, T. Kozuno, Y. Matsuo, S. Levine, O. Nachum, and S. Gu. ICML, volume 139 of Proceedings of Machine Learning Research, page 3541-3552. PMLR, (2021)

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Shane Squires

Shane Denson

Shane Wilson

Shane Hanson

Shane Fresnoza

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EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL.S. Ghasemipour, D. Schuurmans, and S. Gu. ICML, volume 139 of Proceedings of Machine Learning Research, page 3682-3691. PMLR, (2021)Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error.S. Fujimoto, D. Meger, D. Precup, O. Nachum, and S. Gu. ICML, volume 162 of Proceedings of Machine Learning Research, page 6918-6943. PMLR, (2022)Large Language Models are Zero-Shot Reasoners.T. Kojima, S. Gu, M. Reid, Y. Matsuo, and Y. Iwasawa. NeurIPS, (2022)Aligning Text-to-Image Models using Human Feedback.K. Lee, H. Liu, M. Ryu, O. Watkins, Y. Du, C. Boutilier, P. Abbeel, M. Ghavamzadeh, and S. Gu. CoRR, (2023)Multimodal Web Navigation with Instruction-Finetuned Foundation Models.H. Furuta, K. Lee, O. Nachum, Y. Matsuo, A. Faust, S. Gu, and I. Gur. ICLR, OpenReview.net, (2024)Scaling Instruction-Finetuned Language Models.H. Chung, L. Hou, S. Longpre, B. Zoph, Y. Tay, W. Fedus, Y. Li, X. Wang, M. Dehghani, S. Brahma and 25 other author(s). J. Mach. Learn. Res., (2024)Weakly-Supervised Reinforcement Learning for Controllable Behavior.L. Lee, B. Eysenbach, R. Salakhutdinov, S. Gu, and C. Finn. NeurIPS, (2020)A Minimalist Approach to Offline Reinforcement Learning.S. Fujimoto, and S. Gu. NeurIPS, page 20132-20145. (2021)Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real.O. Nachum, M. Ahn, H. Ponte, S. Gu, and V. Kumar. CoRL, volume 100 of Proceedings of Machine Learning Research, page 110-121. PMLR, (2019)World Robot Challenge 2020 - Partner Robot: A Data-Driven Approach for Room Tidying with Mobile Manipulator.T. Matsushima, Y. Noguchi, J. Arima, T. Aoki, Y. Okita, Y. Ikeda, K. Ishimoto, S. Taniguchi, Y. Yamashita, S. Seto and 3 other author(s). CoRR, (2022)

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Disambiguation of "Gu, Shixiang Shane"

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Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning.

Please choose a person to relate this publication to

Shane Squires

Shane Denson

Shane Wilson

Shane Hanson

Shane Fresnoza

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Gu, Shixiang Shane"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning.

Please choose a person to relate this publication to

Shane Squires

Shane Denson

Shane Wilson

Shane Hanson

Shane Fresnoza

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning.