Rodrigo Andres Toro

rntoro@uc.cl

Reinforcement Learning Reward Machines Partial Observability Automata Learning Abstractions Non-markovian Environments Ver más...

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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
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

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