Tree search and reinforcement learning for the unit commitment problem
Project description
ts4uc
Tree Search for the UC Problem
This repo documents the research conducted for my PhD in RL for the Unit Commitment problem.
In particular, this gives the code I used to solve the UC problem with a variety of tree search methods, aided by RL agents trained in a simulated environment of the power system. The simulation environment can be found separately in the RL4UC package.
Tests
To run tests:
cd tests
pytest
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