zuoj's repositories
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
pytorch-ts
Tutorials on using encoder decoder architecture for time series forecasting
cvxpower
Power Network Optimization and Simulation.
LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
pytorch-GAN-timeseries
GANs for time series generation in pytorch
RL_smart_grid
We implemented a general, extensible Environment of a Smart Grid with the ability to simulate interactions between multiple Sources and Loads. Using the Environment, we implemented RL Battery Agents - specifically, using Q-learning and SARSA. We also analysed on a use case of the smart grid: Implementation of a smart Battery Agent to power usage optimizations in a Dynamic Pricing scenario
DynMORL
Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning
optim-pv-battery
Solution for DrivenData Challenge "Power Laws: Optimizing Demand-side Strategies" (using DQNs, policy networks)
MachineLearning
Machine learning algorithms implemented by pure numpy