Raksha Kumaraswamy

20 papers A* 5B 1Misc 1Journal 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Value Bonuses using Ensemble Errors for Exploration in Reinforcement Learning. CoRR Abdul Wahab, Raksha Kumaraswamy, Martha White
2024	J	`jnl`	Cross-environment Hyperparameter Tuning for Reinforcement Learning. RLJ Andrew Patterson, Samuel Neumann, Raksha Kumaraswamy, Martha White, Adam White
2024	J	`jnl`	Investigating the properties of neural network representations in reinforcement learning. Artif. Intell. Han Wang, Erfan Miahi, Martha White, Marlos C. Machado, Zaheer Abbas, Raksha Kumaraswamy, Vincent Liu, Adam White
2024	J	`jnl`	The Cross-environment Hyperparameter Setting Benchmark for Reinforcement Learning. CoRR Andrew Patterson, Samuel Neumann, Raksha Kumaraswamy, Martha White, Adam White
2023	J	`jnl`	From eye-blinks to state construction: Diagnostic benchmarks for online representation learning. Adapt. Behav. Banafsheh Rafiee, Zaheer Abbas, Sina Ghiassian, Raksha Kumaraswamy, Richard S. Sutton, Elliot A. Ludvig, Adam White
2023	J	`jnl`	Off-Policy Actor-Critic with Emphatic Weightings. J. Mach. Learn. Res. Eric Graves, Ehsan Imani, Raksha Kumaraswamy, Martha White
2022	J	`jnl`	Continual Auxiliary Task Learning. CoRR Matthew McLeod, Chunlok Lo, Matthew Schlegel, Andrew Jacobsen, Raksha Kumaraswamy, Martha White, Adam White
2022	J	`jnl`	Investigating the Properties of Neural Network Representations in Reinforcement Learning. CoRR Han Wang, Erfan Miahi, Martha White, Marlos C. Machado, Zaheer Abbas, Raksha Kumaraswamy, Vincent Liu, Adam White
2021	A*	`conf`	Continual Auxiliary Task Learning. NeurIPS Matthew McLeod, Chunlok Lo, Matthew Schlegel, Andrew Jacobsen, Raksha Kumaraswamy, Martha White, Adam White
2021	J	`jnl`	Off-Policy Actor-Critic with Emphatic Weightings. CoRR Eric Graves, Ehsan Imani, Raksha Kumaraswamy, Martha White
2020	J	`jnl`	Interactive Transfer Learning in Relational Domains. Künstliche Intell. Raksha Kumaraswamy, Nandini Ramanan, Phillip Odom, Sriraam Natarajan
2019	A*	`conf`	The Utility of Sparse Representations for Control in Reinforcement Learning. AAAI Vincent Liu, Raksha Kumaraswamy, Lei Le, Martha White
2018	J	`jnl`	Context-Dependent Upper-Confidence Bounds for Directed Exploration. CoRR Raksha Kumaraswamy, Matthew Schlegel, Adam White, Martha White
2018	A*	`conf`	Context-dependent upper-confidence bounds for directed exploration. NeurIPS Raksha Kumaraswamy, Matthew Schlegel, Adam White, Martha White
2018	J	`jnl`	The Utility of Sparse Representations for Control in Reinforcement Learning. CoRR Vincent Liu, Raksha Kumaraswamy, Lei Le, Martha White
2017	A*	`conf`	Learning Sparse Representations in Reinforcement Learning with Sparse Coding. IJCAI Lei Le, Raksha Kumaraswamy, Martha White
2017	J	`jnl`	Learning Sparse Representations in Reinforcement Learning with Sparse Coding. CoRR Lei Le, Raksha Kumaraswamy, Martha White
2016	B	`conf`	Learning Through Advice-Seeking via Transfer. ILP Phillip Odom, Raksha Kumaraswamy, Kristian Kersting, Sriraam Natarajan
2015	Misc	`conf`	Anomaly Detection in Text: The Value of Domain Knowledge. FLAIRS Raksha Kumaraswamy, Anurag Wazalwar, Tushar Khot, Jude W. Shavlik, Sriraam Natarajan
2015	A*	`conf`	Transfer Learning via Relational Type Matching. ICDM Raksha Kumaraswamy, Phillip Odom, Kristian Kersting, David Leake, Sriraam Natarajan