Implementation of "Augmenting Decision with Hypothesis in Reinforcement Learning"
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Aug 11, 2024 - Jupyter Notebook
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reinforement-learning
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This repository contains the implementation of a transformer-based model combined with a Proximal Policy Optimization (PPO) model to generate trade recommendations. The project leverages the predictive capabilities of transformers for price forecasting and the strategic decision-making of reinforcement learning.
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Jun 27, 2024 - Jupyter Notebook
This repository contains a collection of lab exercises and exams from the TDDE15: Advanced Machine Learning course taking at Linköping Univerity during the fall 2024. The main topics are: Bayesian Networks, Hidden Markov Models, Q-learning, REINFORCE, and Gaussian Processes.
machine-learning r q-learning naive-bayes-classifier classification hidden-markov-model gaussian-processes kernels baysian-network markov-blanket reinforement-learning
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Nov 6, 2024 - R
A collection of ML and DL models using Sklearn, TensorFlow, Keras, PyTorch, LLMs, and more for diverse AI tasks.
python machine-learning deep-learning tensorflow sklearn keras pytorch supervised-learning unsupervised-learning model-evaluation model-training huggingface langchain-python reinforement-learning
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Oct 1, 2024 - Jupyter Notebook
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