Rodrigo Andres Toro
email rntoro@uc.cl
Keywords from publications:
Reinforcement Learning Reward Machines Partial Observability Automata Learning Abstractions Non-markovian Environments Ver más...Network
Keywords from publications
| Title | Year | Doi |
|---|---|---|
| Learning reward machines: A study in partially observable reinforcement learning | 2023 | https://doi.org/10.1016/j.artint.2023.103989 |
| Solving Task Scheduling Problems in Dew Computing via Deep Reinforcement Learning | 2022 | https://doi.org/10.3390/app12147137 |
| Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning | 2022 | https://doi.org/10.1613/jair.1.12440 |
| Connection-Aware Heuristics for Scheduling and Distributing Jobs under Dynamic Dew Computing Environments | 2024 | https://doi.org/10.3390/app14083206 |
| Reward Machines for Deep RL in Noisy and Uncertain Environments | 2024 | https://doi.org/arXiv:2406.00120 |
| Real-Time Heuristic Search with LTLf Goals | 2022 | |
| Learning Belief Representations for Partially Observable Deep RL | 2023 | |
| Reward Machines for Deep RL in Noisy and Uncertain Environments | 2024 | |
| Data Distributional Properties As Inductive Bias for Systematic Generalization | 2025 | https://doi.org/10.1109/CVPR52734.2025.02383 |
School Co-Authors
* Authors who are no longer vigent are not clickable.
External Co-Authors
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Sheila A. Mcilraith1 publication
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Cristian Mateos1 publication
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Toryn Q. Klassen1 publication
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Pablo Sanabria1 publication
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Richard Valenzano1 publication
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Sebastian Montoya1 publication
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Ethan Waldie1 publication
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Matias Hirsch1 publication