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ORCIDRaksha Kumaraswamy
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2020 – today
- 2024
[j4]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: 104100 (2024)- [i7]Andrew Patterson, Samuel Neumann, Raksha Kumaraswamy, Martha White, Adam White:
The Cross-environment Hyperparameter Setting Benchmark for Reinforcement Learning. CoRR abs/2407.18840 (2024) - 2023
- [j3]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): 3-19 (2023) - [j2]Eric Graves, Ehsan Imani, Raksha Kumaraswamy, Martha White:
Off-Policy Actor-Critic with Emphatic Weightings. J. Mach. Learn. Res. 24: 146:1-146:63 (2023) - 2022
- [i6]Matthew McLeod, Chunlok Lo, Matthew Schlegel, Andrew Jacobsen, Raksha Kumaraswamy, Martha White, Adam White:
Continual Auxiliary Task Learning. CoRR abs/2202.11133 (2022) - [i5]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 abs/2203.15955 (2022) - 2021
- [c7]Matthew McLeod, Chunlok Lo, Matthew Schlegel, Andrew Jacobsen, Raksha Kumaraswamy, Martha White, Adam White:
Continual Auxiliary Task Learning. NeurIPS 2021: 12549-12562 - [i4]Eric Graves, Ehsan Imani, Raksha Kumaraswamy, Martha White:
Off-Policy Actor-Critic with Emphatic Weightings. CoRR abs/2111.08172 (2021) - 2020
- [j1]Raksha Kumaraswamy, Nandini Ramanan, Phillip Odom, Sriraam Natarajan:
Interactive Transfer Learning in Relational Domains. Künstliche Intell. 34(2): 181-192 (2020)
2010 – 2019
- 2019
- [c6]Vincent Liu, Raksha Kumaraswamy, Lei Le, Martha White:
The Utility of Sparse Representations for Control in Reinforcement Learning. AAAI 2019: 4384-4391 - 2018
- [c5]Raksha Kumaraswamy, Matthew Schlegel, Adam White, Martha White:
Context-dependent upper-confidence bounds for directed exploration. NeurIPS 2018: 4784-4794 - [i3]Vincent Liu, Raksha Kumaraswamy, Lei Le, Martha White:
The Utility of Sparse Representations for Control in Reinforcement Learning. CoRR abs/1811.06626 (2018) - [i2]Raksha Kumaraswamy, Matthew Schlegel, Adam White, Martha White:
Context-Dependent Upper-Confidence Bounds for Directed Exploration. CoRR abs/1811.06629 (2018) - 2017
- [c4]Lei Le, Raksha Kumaraswamy, Martha White:
Learning Sparse Representations in Reinforcement Learning with Sparse Coding. IJCAI 2017: 2067-2073 - [i1]Lei Le, Raksha Kumaraswamy, Martha White:
Learning Sparse Representations in Reinforcement Learning with Sparse Coding. CoRR abs/1707.08316 (2017) - 2016
- [c3]Phillip Odom, Raksha Kumaraswamy, Kristian Kersting, Sriraam Natarajan:
Learning Through Advice-Seeking via Transfer. ILP 2016: 40-51 - 2015
- [c2]Raksha Kumaraswamy, Anurag Wazalwar, Tushar Khot, Jude W. Shavlik, Sriraam Natarajan:
Anomaly Detection in Text: The Value of Domain Knowledge. FLAIRS 2015: 225-228 - [c1]Raksha Kumaraswamy, Phillip Odom, Kristian Kersting, David Leake, Sriraam Natarajan:
Transfer Learning via Relational Type Matching. ICDM 2015: 811-816
Coauthor Index
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