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Melis İlayda Bal
Melis İlayda Bal
Max Planck Institute for Intelligent Systems
Verified email at tuebingen.mpg.de - Homepage
Title
Cited by
Cited by
Year
Population-based Exploration in Reinforcement Learning through Repulsive Reward Shaping Using Eligibility Traces
MI Bal, C Iyigun, F Polat, H Aydin
Annals of Operations Research, 2024
12024
Potential-based reward shaping using state–space segmentation for efficiency in reinforcement learning
Mİ Bal, H Aydın, C İyigün, F Polat
Future Generation Computer Systems 157, 469-484, 2024
2024
Optimistic Games for Combinatorial Bayesian Optimization with Applications to Protein Design
Mİ Bal, PG Sessa, M Mutný, A Krause
NeurIPS 2023 Workshop on Adaptive Experimental Design and Active Learning in …, 2023
2023
Reward Shaping for Efficient Exploration and Acceleration of Learning in Reinforcement Learning
MI Bal
Middle East Technical University Department of Operational Research, 2022
2022
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Articles 1–4