Philip Amortila
According to our database1,
Philip Amortila
authored at least 13 papers
between 2018 and 2024.
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Bibliography
2024
Reinforcement Learning Under Latent Dynamics: Toward Statistical and Algorithmic Modularity.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Mitigating Covariate Shift in Misspecified Regression with Applications to Reinforcement Learning.
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024
2023
The Optimal Approximation Factors in Misspecified Off-Policy Value Function Estimation.
Proceedings of the International Conference on Machine Learning, 2023
2022
A Few Expert Queries Suffices for Sample-Efficient RL with Resets and Linear Value Approximation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
On Query-efficient Planning in MDPs under Linear Realizability of the Optimal State-value Function.
Proceedings of the Conference on Learning Theory, 2021
Exponential Lower Bounds for Planning in MDPs With Linearly-Realizable Optimal Action-Value Functions.
Proceedings of the Algorithmic Learning Theory, 2021
2020
CoRR, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
Proceedings of the Workshop on Artificial Intelligence Safety 2019 co-located with the Thirty-Third AAAI Conference on Artificial Intelligence 2019 (AAAI-19), 2019
2018
Proceedings of the 14th International Conference on Grammatical Inference, 2018