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Achievement: Pair ExtraordinaireAchievement: Pull Shark

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Achievement: Pair ExtraordinaireAchievement: Pull Shark

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Dev1nW/README.md

👋 Hi, I'm Devin!

I'm a Machine Learning Research Fellow with the Army Educational Outreach Program.

👀 My Interests:

  • Reinforcement Learning from Human Feedback (RLHF) and Alignment: Specifically focusing on using ratings, as in Rating-Based Reinforcement Learning.
  • Natural Language Processing (NLP): I’m actively exploring new research, including the use of LLMs (Large Language Models) in playing Atari games, as in Atari-GPT.

📚 Recent Work:

  • Atari-GPT: Investigating the capabilities of LLMs as low-level policies in Atari environments. Check out the research here.
  • Rating-Based Reinforcement Learning: An alternative to traditional preference based reinforcement learning in which users provide ratings to learn a reward model. Read more about it here.
  • Optimal Time-Constrained Intercept Guidance: A project applying deep reinforcement learning to guidance systems. You can explore the paper here.

📫 Connect with me:

Google Scholar LinkedIn

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  1. Simplified-Rating-and-Preference-RL Simplified-Rating-and-Preference-RL Public

    Simplified, modern implementation of Rating and Preference-based Reinforcement Learning.

    Python

  2. atari-gpt atari-gpt Public

    Forked from nwayt001/atari-gpt

    Official Codebase for Atari-GPT

    Python

  3. Rating-based-Reinforcement-Learning Rating-based-Reinforcement-Learning Public

    Official Codebase for Rating-Based Reinforcement Learning.

    Python 2

  4. Gemini_Chatbot Gemini_Chatbot Public

    A Chatbot complete with a GUI using the Gemini API.

    Python 1

  5. Sign_language_recognition_final_project Sign_language_recognition_final_project Public

    Sign Language Recognition code using GRU, LSTM and Simple RNN.

    Jupyter Notebook 1

  6. Adversarial-MARL Adversarial-MARL Public

    Study of Adversarial Multi-Agent Reinforcement Learning.

    Python 2