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richardhoff88/README.md

hi! 🤠

My research interest is in building scalable models for solving hard problems. I’m particularly interested in applications to self-driving vehicles and intelligent robotics, specifically through

  • reinforcement learning
  • spatial reasoning
  • safe control

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  1. online_learning_torank online_learning_torank Public

    Practical Adversarial Attacks on Stochastic Bandits via Fake Data Injection

    Python

  2. arpg_neural_dynamics_2022 arpg_neural_dynamics_2022 Public

    Forked from arpg/Example_neural_dyanmics

    Richard Hoffmans intern project approximating parkour car system dyanmics with a NN

    Jupyter Notebook

  3. preliminary_inequality_validator preliminary_inequality_validator Public

    This project takes a list of inequalities (as strings) and checks if they are consistent (i.e., whether there exists an assignment of real values to variables that makes them all true).

    Python

  4. cool_papers cool_papers Public

    collecting papers that i like

    2

  5. mb_finetuning_notes mb_finetuning_notes Public

    LORA Fine-tuning and evaluating Phi-4-reasoning-plus model with SOS chain of thought training data

    Jupyter Notebook