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Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark.

S. Mohanty, J. Poonganam, A. Gaidon, A. Kolobov, B. Wulfe, D. Chakraborty, G. Semetulskis, J. Schapke, J. Kubilius, J. Pasukonis, L. Klimas, M. Hausknecht, P. MacAlpine, Q. Tran, T. Tumiel, X. Tang, X. Chen, C. Hesse, J. Hilton, W. Guss, S. Genc, J. Schulman, and K. Cobbe. CoRR, (2021)

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Werner Hausknecht

Matthias Hausknecht

Rainer Hausknecht

Marion Hausknecht

Roland Hausknecht

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Learning Calibratable Policies using Programmatic Style-Consistency.E. Zhan, A. Tseng, Y. Yue, A. Swaminathan, and M. Hausknecht. CoRR, (2019)ALFWorld: Aligning Text and Embodied Environments for Interactive Learning.M. Shridhar, X. Yuan, M. Côté, Y. Bisk, A. Trischler, and M. Hausknecht. CoRR, (2020)Using a million cell simulation of the cerebellum: Network scaling and task generality.W. Li, M. Hausknecht, P. Stone, and M. Mauk. Neural Networks, (2013)Consistent Dropout for Policy Gradient Reinforcement Learning.M. Hausknecht, and N. Wagener. CoRR, (2022)Learning Calibratable Policies using Programmatic Style-Consistency.E. Zhan, A. Tseng, Y. Yue, A. Swaminathan, and M. Hausknecht. ICML, volume 119 of Proceedings of Machine Learning Research, page 11001-11011. PMLR, (2020)ALFWorld: Aligning Text and Embodied Environments for Interactive Learning.M. Shridhar, X. Yuan, M. Côté, Y. Bisk, A. Trischler, and M. Hausknecht. ICLR, OpenReview.net, (2021)MoCapAct: A Multi-Task Dataset for Simulated Humanoid Control.N. Wagener, A. Kolobov, F. Frujeri, R. Loynd, C. Cheng, and M. Hausknecht. NeurIPS, (2022)Graph Constrained Reinforcement Learning for Natural Language Action Spaces.P. Ammanabrolu, and M. Hausknecht. ICLR, OpenReview.net, (2020)How to Avoid Being Eaten by a Grue: Structured Exploration Strategies for Textual Worlds.P. Ammanabrolu, E. Tien, M. Hausknecht, and M. Riedl. CoRR, (2020)Deep Reinforcement Learning in Parameterized Action Space.M. Hausknecht, and P. Stone. ICLR (Poster), (2016)

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Disambiguation of "Hausknecht, Matthew J."

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Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark.

Please choose a person to relate this publication to

Werner Hausknecht

Matthias Hausknecht

Rainer Hausknecht

Marion Hausknecht

Roland Hausknecht

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Hausknecht, Matthew J."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark.

Please choose a person to relate this publication to

Werner Hausknecht

Matthias Hausknecht

Rainer Hausknecht

Marion Hausknecht

Roland Hausknecht

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
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Chicago
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Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark.