publications

2024

1. 

   Optimistic Games for Combinatorial Bayesian Optimization with Applications to Protein Design

   Melis Ilayda Bal, Pier G. Sessa, Mojmir Mutny, and 1 more author

   arxiv:2409.18582[cs], Sep 2024

   Preprint. Preliminary version presented at NeurIPS 2023 ReALML Workshop [Best paper award finalist*, Spotlight talk*]

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2. 

   Population-based Exploration in Reinforcement Learning through Repulsive Reward Shaping Using Eligibility Traces

   Melis Ilayda Bal, Huseyin Aydin, Cem Iyigun, and 1 more author

   Annals of Operations Research, Jan 2024

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3. 

   Potential-Based Reward Shaping Using State-Space Segmentation for Efficiency in Reinforcement Learning

   Melis Ilayda Bal, Huseyin Aydin, Cem Iyigun, and 1 more author

   Future Generation Computer Systems, Jan 2024

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2023

1. 

   Optimistic Games for Combinatorial Bayesian Optimization with Applications to Protein Design

   Melis Ilayda Bal, Pier G. Sessa, Mojmir Mutny, and 1 more author

   NeurIPS ReALML Workshop, Dec 2023

   Best paper award finalist*, Spotlight talk*

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2022

1. Reward Shaping for Efficient Exploration and Acceleration of Learning in Reinforcement Learning

   Melis Ilayda Bal

   Jul 2022

   M.S. - Master of Science

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