Q-learning and MCTS techniques for improving an algorithm to compute discrete vector fields on finite topological spaces
- Julián Cuevas-Rozo 12
- Jose Divasón 2
- Laureano Lambán 2
- Ana Romero 2
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1
Universidad Nacional de Colombia
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2
Universidad de La Rioja
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- Temur Kutsia (ed. lit.)
Publisher: RISC Report Series
ISSN: 2791-4267
Year of publication: 2021
Pages: 6-10
Congress: 9th International Symposium on Symbolic Computation in Software Science (SCSS 2021)
Type: Conference paper
Abstract
In this work we present an ongoing project on the improving of a previous symboliccomputation algorithm computing discrete vector fields on finite topological spaces. To this aim, we consider different strategies to choose each one of the possible vectors at each step of the algorithm and we apply some reinforcement learning techniques.