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.

Implementation of "Augmenting Decision with Hypothesis in Reinforcement Learning"

Enables you to convert a PettingZoo environment to a Gym environment while supporting multiple agents (MARL). Gym's default setup doesn't easily support multi-agent environments, but this wrapper resolves that by running each agent in its own process and sharing the environment across those processes.

This project implements a RL based PID tuning system for motor position control using an ESP32 microcontroller. It leverages micro-ROS with ROS2 ecosystems, allowing real-time PID tuning and motor control through ROS2 action servers.

An agent being trained to find its way in a stochastic and partially observable maze using SARSA and Q-Learning algorithms.

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.

A collection of ML and DL models using Sklearn, TensorFlow, Keras, PyTorch, LLMs, and more for diverse AI tasks.

Fetch and orchestrate cryptocurrency data. Train RL model to sim trading activities.