Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods

Yi Wan, Ali Rahimi-Kalahroudi, Janarthanan Rajendran, Ida Momennejad, Sarath Chandar Anbil Parthipan and Harm van Seijen

Paper (2022)

An external link is available for this item

Department:	Department of Computer Engineering and Software Engineering
PolyPublie URL:	https://publications.polymtl.ca/53282/
Conference Title:	39th International Conference on Machine Learning (ICML 2022)
Conference Location:	Baltimore, MD
Conference Date(s):	2022-07-17 - 2022-07-23
DOI:	10.48550/arxiv.2204.11464
Official URL:	https://doi.org/10.48550/arxiv.2204.11464
Date Deposited:	18 Apr 2023 14:59
Last Modified:	25 Sep 2024 16:44

Cite in APA 7:	Wan, Y., Rahimi-Kalahroudi, A., Rajendran, J., Momennejad, I., Anbil Parthipan, S. C., & van Seijen, H. (2022, July). Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods [Paper]. 39th International Conference on Machine Learning (ICML 2022), Baltimore, MD. https://doi.org/10.48550/arxiv.2204.11464
APA 7 (HTML)ASCII CitationAtomBibTeXDOIsDublin CoreEndNote (.ENW)MARC (ISO 2709/UTF-8) (.MRC)MARC (UTF-8) (.MRK8)MARC XMLMPEG-21 DIDLMultiline CSVOAI-ORE Resource Map (Atom Format)OPENAIREOpenURL ContextObjectOpenURL ContextObject in SpanRDF+N-TriplesRDF+N3RDF+XMLReferReference Manager (.RIS)Simple Metadata

Statistics

Repository Staff Only