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Combinatorial Optimization

Bidding in day-ahead electricity markets: A dynamic programming framework
Bidding in day-ahead electricity markets: A dynamic programming framework
Strategic bidding problems have gained a lot of attention with the introduction of deregulated electricity markets where producers and …
Computers & Operations Research (COR),  2025.
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Scaling up ML-based Black-box Planning with Partial STRIPS Models
Scaling up ML-based Black-box Planning with Partial STRIPS Models
A popular approach for sequential decision-making is to perform simulator-based search guided with Machine Learning (ML) methods like …
Workshop at International Join Conference on Artificial Intelligence (IJCAI),  2022.
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Scaling up ML-based Black-box Planning with Partial STRIPS Models
Scaling up ML-based Black-box Planning with Partial STRIPS Models
A popular approach for sequential decision-making is to perform simulator-based search guided with Machine Learning (ML) methods like …
ICAPS'22 Workshop on Reliable Data-Driven Planning and Scheduling,  2022.
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Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization
Combinatorial optimization has found applications in numerous fields, from aerospace to transportation planning and economics. The goal …
Association for the Advancement of Artificial Intelligence (AAAI),  2021.
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