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pecey/README.md

Hi there 👋

🔭 I am a graduate student at Indiana University. My current work is in the domain of stochastic online planning and reinforcement learning.

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  1. MBRL-with-TEA MBRL-with-TEA Public

    Code release for Improving planning and MBRL with temporally-extended actions (NeurIPS 2025)

    Python 1

  2. DiSProD DiSProD Public

    Code release for Differentiable Symbolic Propagation of Distributions for Planning (IJCAI 2023)

    Python 6

  3. SympyToTorch SympyToTorch Public

    Symbolic Python to Torch Computation Graphs

    Python 1

  4. Outlier-detection-using-C2C-SM Outlier-detection-using-C2C-SM Public

    As a part of my Computer Vision course, I worked on showing that C2C-Siamese Networks can be used for outlier detection.

  5. RL-Algorithms RL-Algorithms Public

    Implementations of Reinforcement Learning Algorithms

    Python

  6. EM-DQN EM-DQN Public

    Implementation of EM-DQN for Cognitively Inspired AI course.

    Jupyter Notebook