Stars
Jupyter notebooks for Dynamics and Control
Reinforcement Learning Course Project
External torque observers for a robot manipulator
Type 1 Diabetes Management using GLIMMER: Glucose Level Indicator Model with Modified Error Rate
Source co E9F1 de for predicting Blood Glucose Concentration
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Real-time behaviour synthesis with MuJoCo, using Predictive Control
Reinforcement Learning based Artificial Pancreas Systems for Controlling Blood Glucose in Type 1 Diabetes.
This is a fully closed-loop AP controller based on PPO algorithm
GluCoEnv - Glucose Control Environment, is a simulation environment which aims to facilitate the development of Reinforcement Learning based Artificial Pancreas Systems for Glucose Control in Type …
A framework to design Reinforcement Learning environments that model Active Network Management (ANM) tasks in electricity distribution networks.
A curated list of awesome model based RL resources (continually updated)
Physics-informed Dyna-style model-based deep reinforcement learning for dynamic control
A pytorch reprelication of the model-based reinforcement learning algorithm MBPO
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Code for "SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning" by Zolman et al.
Tutorial on model-based reinforcement learning with a focus on learning world models.
This repository provides an AI-powered trading bot leveraging AlloraNetwork for automatic trading on HyperLiquid decentralized exchange. The bot integrates predictive insights and customizable stra…
A high-performance LLM inference API and Chat UI that integrates DeepSeek R1's CoT reasoning traces with Anthropic Claude models.
Basic implementation of physics-informed neural network with pytorch.