Python library that implements DeePC: Data-Enabled Predictive Control
Implementation of the CartPole from OpenAI's Gym using only visual input for Reinforcement Learning control with DQN
Model Free Adaptive Control Toolbox for Python
A wrapped package for Data-enabled predictive control (DeePC) implementation. Including DeePC and Robust DeePC design with multiple objective functions.
Design, implementation and simulation of multiple algorithms
We compare model-free and model-based methods in the context of battery control.
Hierarchical Model-Free Transactional Control of Building Loads to Support Grid Services
This repo contains implementations of algorithms such a Q-learning, SARSA, TD, Policy gradient
Python implementation of the IHOMFAC algorithm proposed in the paper "Improved High Order Model-Free Adaptive Control"
Policy Evaluation and Policy Control for modified Blackjack: Assignment 1, COL870 (Reinforcement Learning) @ IIT Delhi
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