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 ...
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 ...
The transformation of energy structure has brought about new changes in the power system, and the environmentally friendly gas switchgear with the goal of low carbon and environmental protection has ...
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, ...
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 ...
The efficient management of diseases, pests, or endangered species is an important global issue faced by agencies constrained by limited resources. The management challenge is even greater when ...
Optimal choice of actions is a fundamental problem relevant to fields as diverse as neuroscience, psychology, economics, computer science, and control engineering. Despite this broad relevance the ...
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