Gražvydas Šemetulskis
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Limits and Structures in Graph Theory, RNA Research and Splicing, Graph theory and applications, Markov Chains and Monte Carlo Methods
Most-Cited Works
- → Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark(2021)6 cited
- → On polynomials with flat squares(2010)1 cited
- Variations on the problems of Erdős-Turán and Littlewood-Offord(2018)
- → Optimal Littlewood-Offord Inequalities in Groups(2019)