I work on control, optimization, and approximation of dynamic systems, for example in the study of how resource-constrained units can cooperate toward goals none of them could reach alone. My current interest frontiers are approximation of dynamical systems, world models, and multi-agent control.
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imprimer
imprimer PublicA platform that reduces prompt engineering effort and improves LLM output control using feedback🔁, reinforcement learning and constraint retention
Python
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mpc-and-rl-for-a-battery-thermal-system-management
mpc-and-rl-for-a-battery-thermal-system-management Public(Thesis). The application of Model Predictive Control (MPC) and Reinforcement Learning (RL) to Battery Thermal Management System of an Electrical Vehicle (EV) with a Ion-Lithuim battery
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tiny-grpo
tiny-grpo PublicTiny GRPO in Go: a minimal reinforcement learning load balancer that learns real-time traffic routing with just 16 parameters and no critic
Go
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automated-optical-inspection
automated-optical-inspection PublicAutomated inspection in a microservice for metal detection failure using Go, React and Python for high inference latency
Python
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