Any analysis of the current state of Antarctic diplomacy inevitably touches on the how the requirement to obtain consensus within the two main bodies of the Antarctic Treaty System (ATS) affects and ...
In the MIMIC-III dataset, not all actions are taken enough times in each state to reliably estimate the transition probabilities, and such actions are considered inadmissible. To deal with this issue, ...
Safe dynamic optimization of automatic generation control via imitation-based reinforcement learning
The increasing penetration of distributed generation (e.g., solar power and wind power) in the energy market has caused unpredictable disturbances in power systems and accelerated the application of ...
Department of Computer Science and Engineering, College of Engineering, The Ohio State University, Columbus, Ohio 43210, United States Translational Data Analytics Institute, The Ohio State University ...
Animals often use odors to send messages that travel across long distances, carried by the wind. At the receiver’s end, the signal arrives attenuated and mangled by the turbulent atmospheric flow.
Forest management can be seen as a sequential decision-making problem to determine an optimal scheduling policy, e.g., harvest, thinning, or do-nothing, that can mitigate the risks of wildfire. Markov ...
Implements selected inverse reinforcement learning (IRL) algorithms as part of COMP3710, supervised by Dr Mayank Daswani and Dr Marcus Hutter. My final report is available here and describes the ...
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