David Molina Concha

According to our database, David Molina Concha authored at least 5 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Reward design in multi-agent systems using successor features and multi-information source bayesian optimization.

Kyeonghyeon Park, David Molina Concha, Hyun-Rok Lee, Taesik Lee, Chi-Guhn Lee

Int. J. Mach. Learn. Cybern., September, 2025

Hypernetwork-based approach for optimal composition design in partially controlled multi-agent systems.

Kyeonghyeon Park, David Molina Concha, Hyun-Rok Lee, Chi-Guhn Lee, Taesik Lee

CoRR, February, 2025

Optimizing Markov decision process state design for deep reinforcement learning manufacturing scheduling using Bayesian optimization.

Woo-Sik Yoo, Jongeun Kim, David Molina Concha, Chi-Guhn Lee

J. Comput. Des. Eng., 2025

2024

Bayesian Optimization Framework for Efficient Fleet Design in Autonomous Multi-Robot Exploration.

David Molina Concha, Jiping Li, Haoran Yin, Kyeonghyeon Park, Hyun-Rok Lee, Taesik Lee, Dhruv Sirohi, Chi-Guhn Lee

CoRR, 2024

Algorithmic Contract Design with Reinforcement Learning Agents.

David Molina Concha, Kyeong-Hyeon Park, Hyun-Rok Lee, Taesik Lee, Chi-Guhn Lee

CoRR, 2024