Research
My main research focus is on multiagent interaction, complex systems and reinforcement learning, with applications spanning from theoretical foundations to practical implementations.
Current Research Areas
Machine Learning & AI
- Classical and deep Reinforcement learning
- Multiagent systems
- Diffusion based generative models
- Algorithmic foundations of machine and deep learning
Complex Systems & Game Theory
- Computational game theory
- Complex systems analysis
- Lyapunov exponents for diversity
- Bifurcations in differentiable games
Quantum Computing
- Quantum machine learning
- Quantum space distance estimation
- Quantum walk algorithms
- Quantum topological classification
Previous Research (Physics Background)
- Non-equilibrium statistical mechanics
- Foundations of quantum mechanics
- Quantum chaos
- Molecular dynamics and computational chemistry
- Nonlinear optics
- Heat conduction in nanometric systems