scott-moura / rl
Introduction to Reinforcement Learning: A Short Course
☆15Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for rl
- A Python tool for distributed model-based predictive control of energy suppy chains☆14Updated 5 months ago
- Realistic RL environments for vehicle fleets☆27Updated last week
- Chance constraints in CVXPY☆17Updated 5 years ago
- Conformer-RLpatching achieves multi-objective dispatching for the hybrid power system under the long-term fluctuations of renewable energ…☆15Updated 2 years ago
- ☆14Updated last year
- ☆15Updated 3 years ago
- simulation tool for Model Predictive Control (MPC) and Distributed MPC, in Python☆23Updated 8 years ago
- Minimizing Carbon Emission during EV Charging☆13Updated 2 years ago
- Simulation of performance and efficinecy of a hybrid electric vehicle☆29Updated 6 years ago
- DRL-based ESSs scheduling environments in distribution networks.☆12Updated last month
- AlphaHydrogen is an open source OpenAI Gym environment that simulates the energy system of a residential community with distributed renew…☆14Updated 3 years ago
- Official reinforcement learning environment for demand response and grid services. This repository is based on, but distinct from the ori…☆28Updated 3 years ago
- COHORT: Coordination of Heterogeneous Thermostatically Controlled Loads for Demand Flexibility☆13Updated 3 years ago
- Markov Decision Process and Model Predictive control for EV charging station☆26Updated 6 years ago
- ☆24Updated last week
- Explore efficient energy management in renewable communities through the implementation of Model Predictive Control (MPC) and Reinforceme…☆12Updated 11 months ago
- Using electric vehicle charging data, I explore when drivers are likely to plug in their cars, and how much additional electricity demand…☆16Updated 4 years ago
- ☆10Updated last year
- ☆17Updated 2 years ago
- IEEE Motor Vehicles Challenge 2023☆16Updated last year
- ☆17Updated last year
- Microgrid/distribution network level energy market managed by an RL agent☆13Updated 3 years ago
- Code for our paper Demand Response Model Identification and Behavior Forecast with OptNet: a Gradient-based Approach.☆9Updated 2 years ago
- Experiments in using deep learning to model competition in liberalised electricity markets.☆48Updated last year
- Code and data for the article "Reliable frequency regulation through vehicle-to-grid: Encoding legislation with robust constraints" by Di…☆21Updated 6 months ago
- We implemented a general, extensible Environment of a Smart Grid with the ability to simulate interactions between multiple Sources and L…☆22Updated 5 years ago
- Solution for DrivenData Challenge "Power Laws: Optimizing Demand-side Strategies" (using DQNs, policy networks)☆24Updated 5 years ago
- Probabilistic Deep Learningfor Electric-Vehicle Energy-Use Prediction☆17Updated 3 years ago
- Smart home energy management system with PV and a variable-speed air-source heat pump☆28Updated 2 years ago
- Utilizing dynamic programming, I optimally schedule electric battery usage for a plug-in hybrid electric vehicle to minimize fuel consump…☆43Updated 5 years ago