Ruo Yu Tao

11 papers A* 2Journal 8Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Benchmarking Partial Observability in Reinforcement Learning with a Suite of Memory-Improvable Domains.
CoRR
Ruo Yu Tao, Kaicheng Guo, Cameron Allen, George Dimitri Konidaris
2025 J jnl
Spectral Collapse Drives Loss of Plasticity in Deep Continual Learning.
CoRR
Naicheng He, Kaicheng Guo, Arjun Prakash, Saket Tiwari, Ruo Yu Tao, Tyrone Serapio, Amy Greenwald, George Konidaris
2024 A* conf
Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy.
NeurIPS
Cameron Allen, Aaron Kirtland, Ruo Yu Tao, Sam Lobel, Daniel Scott, Nicholas Petrocelli, Omer Gottesman, Ronald Parr, Michael L. Littman, George Konidaris
2024 J jnl
Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy.
CoRR
Cameron Allen, Aaron Kirtland, Ruo Yu Tao, Sam Lobel, Daniel Scott, Nicholas Petrocelli, Omer Gottesman, Ronald Parr, Michael L. Littman, George Konidaris
2023 J jnl
Agent-State Construction with Auxiliary Inputs.
Trans. Mach. Learn. Res.
Ruo Yu Tao, Adam White, Marlos C. Machado
2023 — conf
Measuring and Mitigating Interference in Reinforcement Learning.
CoLLAs
Vincent Liu, Han Wang, Ruo Yu Tao, Khurram Javed, Adam White, Martha White
2023 J jnl
Measuring and Mitigating Interference in Reinforcement Learning.
CoRR
Vincent Liu, Han Wang, Ruo Yu Tao, Khurram Javed, Adam White, Martha White
2022 J jnl
Agent-State Construction with Auxiliary Inputs.
CoRR
Ruo Yu Tao, Adam White, Marlos C. Machado
2020 A* conf
Novelty Search in Representational Space for Sample Efficient Exploration.
NeurIPS
Ruo Yu Tao, Vincent François-Lavet, Joelle Pineau
2020 J jnl
Novelty Search in representational space for sample efficient exploration.
CoRR
Ruo Yu Tao, Vincent François-Lavet, Joelle Pineau
2018 J jnl
Towards Solving Text-based Games by Producing Adaptive Action Spaces.
CoRR
Ruo Yu Tao, Marc-Alexandre Côté, Xingdi Yuan, Layla El Asri