Anomaly Detection in Text: The Value of Domain Knowledge. - Raksha Kumaraswamy; Anurag Wazalwar; Tushar Khot; Jude W. Shavlik; Sriraam Natarajan (FLAIRS, 2015)

Transfer Learning via Relational Type Matching. - Raksha Kumaraswamy; Phillip Odom; Kristian Kersting; David Leake; Sriraam Natarajan (ICDM, 2015)

Learning Through Advice-Seeking via Transfer. - Phillip Odom; Raksha Kumaraswamy; Kristian Kersting; Sriraam Natarajan (ILP, 2016)

Learning Sparse Representations in Reinforcement Learning with Sparse Coding. - Lei Le; Raksha Kumaraswamy; Martha White (IJCAI, 2017)

Context-dependent upper-confidence bounds for directed exploration. - Raksha Kumaraswamy; Matthew Schlegel; Adam White 001; Martha White (NeurIPS, 2018)

The Utility of Sparse Representations for Control in Reinforcement Learning. - Vincent Liu; Raksha Kumaraswamy; Lei Le; Martha White (AAAI, 2019)

Interactive Transfer Learning in Relational Domains. - Raksha Kumaraswamy; Nandini Ramanan; Phillip Odom; Sriraam Natarajan (Künstliche Intell., 2020)

Continual Auxiliary Task Learning. - Matthew McLeod; Chunlok Lo; Matthew Schlegel; Andrew Jacobsen; Raksha Kumaraswamy; Martha White; Adam White 001 (NeurIPS, 2021)

Off-Policy Actor-Critic with Emphatic Weightings. - Eric Graves 002; Ehsan Imani; Raksha Kumaraswamy; Martha White (J. Mach. Learn. Res., 2023)

From eye-blinks to state construction: Diagnostic benchmarks for online representation learning. - Banafsheh Rafiee; Zaheer Abbas; Sina Ghiassian; Raksha Kumaraswamy; Richard S. Sutton; Elliot A. Ludvig; Adam White 001 (Adapt. Behav., 2023)

Cross-environment Hyperparameter Tuning for Reinforcement Learning. - Andrew Patterson; Samuel Neumann; Raksha Kumaraswamy; Martha White; Adam White 001 (RLJ, 2024)

Investigating the properties of neural network representations in reinforcement learning. - Han Wang; Erfan Miahi; Martha White; Marlos C. Machado; Zaheer Abbas; Raksha Kumaraswamy; Vincent Liu; Adam White 001 (Artif. Intell., 2024)

The Cross-environment Hyperparameter Setting Benchmark for Reinforcement Learning. - Andrew Patterson; Samuel Neumann; Raksha Kumaraswamy; Martha White; Adam White 001 (CoRR, 2024)