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Automated Reinforcement Learning (AutoRL): A Survey and Open Problems.

J. Parker-Holder, R. Rajan, X. Song, A. Biedenkapp, Y. Miao, T. Eimer, B. Zhang, V. Nguyen, R. Calandra, A. Faust, F. Hutter, and M. Lindauer. J. Artif. Intell. Res., (2022)

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Thomas Parker

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Practical Nonisotropic Monte Carlo Sampling in High Dimensions via Determinantal Point Processes.K. Choromanski, A. Pacchiano, J. Parker-Holder, and Y. Tang. AISTATS, volume 108 of Proceedings of Machine Learning Research, page 1363-1374. PMLR, (2020)Provably Robust Blackbox Optimization for Reinforcement Learning.K. Choromanski, A. Pacchiano, J. Parker-Holder, Y. Tang, D. Jain, Y. Yang, A. Iscen, J. Hsu, and V. Sindhwani. CoRL, volume 100 of Proceedings of Machine Learning Research, page 683-696. PMLR, (2019)Human-Timescale Adaptation in an Open-Ended Task Space.A. Team, J. Bauer, K. Baumli, S. Baveja, F. Behbahani, A. Bhoopchand, N. Bradley-Schmieg, M. Chang, N. Clay, A. Collister and 18 other author(s). CoRR, (2023)On Optimism in Model-Based Reinforcement Learning.A. Pacchiano, P. Ball, J. Parker-Holder, K. Choromanski, and S. Roberts. CoRR, (2020)Multi-Agent Diagnostics for Robustness via Illuminated Diversity.M. Samvelyan, D. Paglieri, M. Jiang, J. Parker-Holder, and T. Rocktäschel. CoRR, (2024)Towards tractable optimism in model-based reinforcement learning.A. Pacchiano, P. Ball, J. Parker-Holder, K. Choromanski, and S. Roberts. UAI, volume 161 of Proceedings of Machine Learning Research, page 1413-1423. AUAI Press, (2021)MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research.M. Samvelyan, R. Kirk, V. Kurin, J. Parker-Holder, M. Jiang, E. Hambro, F. Petroni, H. Küttler, E. Grefenstette, and T. Rocktäschel. NeurIPS Datasets and Benchmarks, (2021)Replay-Guided Adversarial Environment Design.M. Jiang, M. Dennis, J. Parker-Holder, J. Foerster, E. Grefenstette, and T. Rocktäschel. NeurIPS, page 1884-1897. (2021)Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL.J. Parker-Holder, V. Nguyen, S. Desai, and S. Roberts. NeurIPS, page 15513-15528. (2021)From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization.K. Choromanski, A. Pacchiano, J. Parker-Holder, Y. Tang, and V. Sindhwani. NeurIPS, page 10299-10309. (2019)

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Disambiguation of "Parker-Holder, Jack"

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Automated Reinforcement Learning (AutoRL): A Survey and Open Problems.

Please choose a person to relate this publication to

Thomas Parker

David Parker

Darren Parker

June Parker

Jane Parker

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Parker-Holder, Jack"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Automated Reinforcement Learning (AutoRL): A Survey and Open Problems.

Please choose a person to relate this publication to

Thomas Parker

David Parker

Darren Parker

June Parker

Jane Parker

Other publications of authors with the same name

Disambiguation

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Automated Reinforcement Learning (AutoRL): A Survey and Open Problems.