Ruo Yu Tao

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 8

Top Topics

Partial Observability

Markov Decision Processes

Reinforcement Learning

Top Venues

Trans. Mach. Learn. Res.

Publications

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 (2024)
Vincent Liu, Han Wang, Ruo Yu Tao, Khurram Javed, Adam White, Martha White
Measuring and Mitigating Interference in Reinforcement Learning. CoLLAs (2023)
Vincent Liu, Han Wang, Ruo Yu Tao, Khurram Javed, Adam White, Martha White
Measuring and Mitigating Interference in Reinforcement Learning. CoRR (2023)
Ruo Yu Tao, Adam White, Marlos C. Machado
Agent-State Construction with Auxiliary Inputs. Trans. Mach. Learn. Res. 2023 (2023)
Ruo Yu Tao, Adam White, Marlos C. Machado
Agent-State Construction with Auxiliary Inputs. CoRR (2022)
Ruo Yu Tao, Vincent François-Lavet, Joelle Pineau
Novelty Search in Representational Space for Sample Efficient Exploration. NeurIPS (2020)
Ruo Yu Tao, Vincent François-Lavet, Joelle Pineau
Novelty Search in representational space for sample efficient exploration. CoRR (2020)
Ruo Yu Tao, Marc-Alexandre Côté, Xingdi Yuan, Layla El Asri
Towards Solving Text-based Games by Producing Adaptive Action Spaces. CoRR (2018)