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  • MILA Lab
  • Montreal, Quebec

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  1. TradeBot-Transformers TradeBot-Transformers Public

    TradeBot algorithm for sequential prediction based on Transformers and LSTM Model, the main objectif of the model is to optimize portfolio allocation given uncertainity in the financial market.

    Jupyter Notebook 5

  2. Deep-Reinforcement-Learning-Optimal-Control Deep-Reinforcement-Learning-Optimal-Control Public

    This repository contains PyTorch implementations of deep reinforcement learning algorithms and environments for Robotics and Controls. The goal of this project is to include engineering application…

    Python 8 1

  3. Potential-Energy-Flow-with-GFN Potential-Energy-Flow-with-GFN Public

    Handling Stochastic Rewards for Better Sequence Generation

    Python

  4. GPT-TS-for-Battery-Storage-Optimization GPT-TS-for-Battery-Storage-Optimization Public

    Optimising Grid-Scale Lithium-ion Batteries using GPT-TS.

    Jupyter Notebook

  5. Stochastic-Environments-for-Sequential-Decision-Making Stochastic-Environments-for-Sequential-Decision-Making Public

    This repo introduce Stochastic Generative Flow Networks, an innovative approach designed to model environments with inherent stochasticity in state transitions.

    Python