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bva-bme/README.md

Balázs Varga, PhD

Modelling & Simulation | Optimization | Applied ML | Mobility & Physical Systems

I like working on hard engineering problems that require modelling, simulation, optimization or data-driven methods - from problem formulation to implementation and validation.

Methods

  • Applied ML: XGBoost, Gaussian Processes, reinforcement learning
  • Optimization: constrained and multi-objective optimization, Design of Experiments
  • Control: MPC, robust control, LPV
  • Simulation: physics-based modelling, co-simulation, real-time simulation

Pinned Loading

  1. EGO-centric-SUMOEGO-centric-SUMOPublic

    EGO-centric multi-scale co-simulation with SUMO

    Python

  2. Controlled_DQNControlled_DQNPublic

    Improving deep Q-learning with robust control

    Python 3 1

  3. Constrained_Policy_GradientConstrained_Policy_GradientPublic

    Constrained Policy Gradient Method for Safe and Fast Reinforcement Learning: a Neural Tangent Kernel Based Approach

    Python 1

  4. srt_climbing_reinforcement_learningsrt_climbing_reinforcement_learningPublic

    Learn to climb: teaching a reinforcement learning agent the single rope ascending technique

    Python