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
A wrapped package for Data-enabled predictive control (DeePC) implementation. Including DeePC and Robust DeePC design with multiple objective functions.
Model Free Adaptive Control Toolbox for Python
Design, implementation and simulation of multiple algorithms
This repo contains implementations of algorithms such a Q-learning, SARSA, TD, Policy gradient
Hierarchical Model-Free Transactional Control of Building Loads to Support Grid Services
We compare model-free and model-based methods in the context of battery control.
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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