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Ruo Yu Tao
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2020 – today
- 2024
- [i5]Cameron Allen, Aaron Kirtland, Ruo Yu Tao, Sam Lobel, Daniel Scott, Nicholas Petrocelli, Omer Gottesman, Ronald Parr, Michael L. Littman, George Konidaris:
Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy. CoRR abs/2407.07333 (2024) - 2023
- [j1]Ruo Yu Tao, Adam White, Marlos C. Machado:
Agent-State Construction with Auxiliary Inputs. Trans. Mach. Learn. Res. 2023 (2023) - [c2]Vincent Liu, Han Wang, Ruo Yu Tao, Khurram Javed, Adam White, Martha White:
Measuring and Mitigating Interference in Reinforcement Learning. CoLLAs 2023: 781-795 - [i4]Vincent Liu, Han Wang, Ruo Yu Tao, Khurram Javed, Adam White, Martha White:
Measuring and Mitigating Interference in Reinforcement Learning. CoRR abs/2307.04887 (2023) - 2022
- [i3]Ruo Yu Tao, Adam White, Marlos C. Machado:
Agent-State Construction with Auxiliary Inputs. CoRR abs/2211.07805 (2022) - 2020
- [c1]Ruo Yu Tao, Vincent François-Lavet, Joelle Pineau:
Novelty Search in Representational Space for Sample Efficient Exploration. NeurIPS 2020 - [i2]Ruo Yu Tao, Vincent François-Lavet, Joelle Pineau:
Novelty Search in representational space for sample efficient exploration. CoRR abs/2009.13579 (2020)
2010 – 2019
- 2018
- [i1]Ruo Yu Tao, Marc-Alexandre Côté, Xingdi Yuan, Layla El Asri:
Towards Solving Text-based Games by Producing Adaptive Action Spaces. CoRR abs/1812.00855 (2018)
Coauthor Index
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