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
Recent Publications
Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members
Lyapunov Exponents for Diversity in Differentiable Games
Using bifurcations for diversity in differentiable games
Patents
Quantum space distance estimation for classifier training
Quantum walk for community clique detection
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