Raksha Kumaraswamy

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 16

Top Topics

Relational Domains

Reinforcement Learning

Top Venues

FLAIRS Conference

Publications

Han Wang, Erfan Miahi, Martha White, Marlos C. Machado, Zaheer Abbas, Raksha Kumaraswamy, Vincent Liu, Adam White
Investigating the properties of neural network representations in reinforcement learning. Artif. Intell. 330 (2024)
Andrew Patterson, Samuel Neumann, Raksha Kumaraswamy, Martha White, Adam White
The Cross-environment Hyperparameter Setting Benchmark for Reinforcement Learning. CoRR (2024)
Banafsheh Rafiee, Zaheer Abbas, Sina Ghiassian, Raksha Kumaraswamy, Richard S. Sutton, Elliot A. Ludvig, Adam White
From eye-blinks to state construction: Diagnostic benchmarks for online representation learning. Adapt. Behav. 31 (1) (2023)
Eric Graves, Ehsan Imani, Raksha Kumaraswamy, Martha White
Off-Policy Actor-Critic with Emphatic Weightings. J. Mach. Learn. Res. 24 (2023)
Matthew McLeod, Chunlok Lo, Matthew Schlegel, Andrew Jacobsen, Raksha Kumaraswamy, Martha White, Adam White
Continual Auxiliary Task Learning. CoRR (2022)
Han Wang, Erfan Miahi, Martha White, Marlos C. Machado, Zaheer Abbas, Raksha Kumaraswamy, Vincent Liu, Adam White
Investigating the Properties of Neural Network Representations in Reinforcement Learning. CoRR (2022)
Eric Graves, Ehsan Imani, Raksha Kumaraswamy, Martha White
Off-Policy Actor-Critic with Emphatic Weightings. CoRR (2021)
Matthew McLeod, Chunlok Lo, Matthew Schlegel, Andrew Jacobsen, Raksha Kumaraswamy, Martha White, Adam White
Continual Auxiliary Task Learning. NeurIPS (2021)
Raksha Kumaraswamy, Nandini Ramanan, Phillip Odom, Sriraam Natarajan
Interactive Transfer Learning in Relational Domains. Künstliche Intell. 34 (2) (2020)
Vincent Liu, Raksha Kumaraswamy, Lei Le, Martha White
The Utility of Sparse Representations for Control in Reinforcement Learning. AAAI (2019)
Raksha Kumaraswamy, Matthew Schlegel, Adam White, Martha White
Context-Dependent Upper-Confidence Bounds for Directed Exploration. CoRR (2018)
Vincent Liu, Raksha Kumaraswamy, Lei Le, Martha White
The Utility of Sparse Representations for Control in Reinforcement Learning. CoRR (2018)
Raksha Kumaraswamy, Matthew Schlegel, Adam White, Martha White
Context-dependent upper-confidence bounds for directed exploration. NeurIPS (2018)
Lei Le, Raksha Kumaraswamy, Martha White
Learning Sparse Representations in Reinforcement Learning with Sparse Coding. CoRR (2017)
Lei Le, Raksha Kumaraswamy, Martha White
Learning Sparse Representations in Reinforcement Learning with Sparse Coding. IJCAI (2017)
Phillip Odom, Raksha Kumaraswamy, Kristian Kersting, Sriraam Natarajan
Learning Through Advice-Seeking via Transfer. ILP (2016)
Raksha Kumaraswamy, Phillip Odom, Kristian Kersting, David Leake, Sriraam Natarajan
Transfer Learning via Relational Type Matching. ICDM (2015)
Raksha Kumaraswamy, Anurag Wazalwar, Tushar Khot, Jude W. Shavlik, Sriraam Natarajan
Anomaly Detection in Text: The Value of Domain Knowledge. FLAIRS Conference (2015)