Publications

(2023). When is Offline Policy Selection Feasible for Reinforcement Learning?. Under submission.

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(2023). Exploiting action impact regularity and exogenous state variables for offline reinforcement learning. Journal of Artificial Intelligence Research.

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(2023). Asymptotically Unbiased Off-Policy Policy Evaluation when Reusing Old Data in Nonstationary Environments. International Conference on Artificial Intelligence and Statistics.

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(2023). Measuring and Mitigating Interference in Reinforcement Learning. Conference on Lifelong Learning Agents.

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(2022). No More Pesky Hyperparameters: Offline Hyperparameter Tuning for RL. Transactions on Machine Learning Research.

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(2022). Investigating the properties of neural network representations in reinforcement learning. arXiv preprint arXiv:2203.15955.

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(2020). Training Recurrent Neural Networks Online by Learning Explicit State Variables. International Conference on Learning Representations.

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(2019). The utility of sparse representations for control in reinforcement learning. AAAI Conference on Artificial Intelligence.

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(2019). Incrementally Learning Functions of the Return. The Multi-disciplinary Conference on Reinforcement Learning and Decision Making.

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(2019). A Value Function Basis for Nexting and Multi-step Prediction. The Multi-disciplinary Conference on Reinforcement Learning and Decision Making.

(2019). Attribute-aware recommender system based on collaborative filtering: Survey and classification. Frontiers in big Data.

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