Risk parity algorithm using reinforcement learning
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Updated
Jun 5, 2024 - MATLAB
Risk parity algorithm using reinforcement learning
simple cliff walk implementation
Striatal dopamine ramping: an explanation by reinforcement learning with decay (Morita & Kato, 2014)
Inculdes some of the basic, text book codes
Cart-Pole Matlab & ROS/Gazebo Co-simulation framework developed by erc-dynamics.
This repository provides official code base for the paper "Explicit Sequence Proximity Models for Hidden State Identification".
The project involves Hopfield models, supervised learning and unsupervised learning.
Hybrid Optimal Control
Phasic dopamine changes, Hebbian mechs during reversal learning in striatum (Schirru et al in press)
A 3 day workshop with hand-on coding exercises held by Safura Rashid Shomali, Resident Researcher at the Institute for Research in Fundamental Sciences (IPM), PhD in Neuroscience
A neural network pong player built in matlab
Distributed generation placement using reinforcement learning
A generic implementation of dynamic programming algorithm and value iteration algorithm. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711022000152
Degree thesis in Data Science and Engineering at Politecnico di Torino
Exercises and lecture notes
Energy Saving in Mobile Networks using Dynamic Programming
This repository contains my solutions for the assignments of the course ECE 559B at The University of Victoria
Training autonomous agents to play monopoly via reinforcement learning (MATLAB).
Contains the code for the probabilistic card game script and RL agent used in my experiment investigating the effect of brain stimulation on goal-directed decision-making in humans.
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