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Balazs Varga bva-bme

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  • TU Budapest
  • https://traffic.bme.hu/
  • https://orcid.org/0000-0002-2945-7974

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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

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  1. EGO-centric-SUMO EGO-centric-SUMO Public

    EGO-centric multi-scale co-simulation with SUMO

    Python

  2. Controlled_DQN Controlled_DQN Public

    Improving deep Q-learning with robust control

    Python 3 1

  3. Constrained_Policy_Gradient Constrained_Policy_Gradient Public

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

    Python 1

  4. srt_climbing_reinforcement_learning srt_climbing_reinforcement_learning Public

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

    Python

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