iankurgarg / Reinforcement-Learning-Feature-SelectionLinks
Feature selection for maximizing expected cumulative reward
☆30Updated 8 years ago
Alternatives and similar repositories for Reinforcement-Learning-Feature-Selection
Users that are interested in Reinforcement-Learning-Feature-Selection are comparing it to the libraries listed below
Sorting:
- ☆29Updated 6 years ago
- Probabilistic Multivariate Time Series Forecast using Deep Learning☆96Updated 6 years ago
- Some example code for the "Introduction to Bayesian Reinforcement Learning" presentations☆29Updated 6 years ago
- Tensorflow implementation of deep quantile regression☆75Updated 3 years ago
- Hybrid ES-RNN models for time series forecasting☆19Updated 4 years ago
- Bayesian Uncertainty Exploration in Deep Reinforcement Learning☆18Updated 8 years ago
- Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"☆17Updated 6 years ago
- ☆24Updated 7 years ago
- State space modeling with recurrent neural networks☆45Updated 7 years ago
- ☆42Updated 7 years ago
- My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow☆53Updated 4 years ago
- ☆71Updated 3 years ago
- Time-series Generative Adversarial Networks (fork from the ML-AIM research group on bitbucket))☆122Updated 4 years ago
- Thompson Sampling Tutorial☆56Updated 7 years ago
- Applications of Gaussian Process Latent Variable Models in Finance☆11Updated 3 years ago
- Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971☆59Updated 3 years ago
- A simple implementation of the WaveNet model for time series forecasting☆26Updated 7 years ago
- Quantile Regression using Deep Learning. An alternative to Bayesian models to get uncertainty.☆76Updated 8 years ago
- Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Wo…☆88Updated 6 years ago
- ☆23Updated 4 years ago
- Probabilistic Principal Component Analysis☆64Updated 8 years ago
- Deep RL for portfolio management☆13Updated 7 years ago
- Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)☆56Updated 7 years ago
- This is a work in progress Pytorch implementation of the recently proposed ES-RNN by Slawek Smyl, winner of the M4 competition☆12Updated 6 years ago
- In this notebook several classes of multi-armed bandits are implemented. This includes epsilon greedy, UCB, Linear UCB (Contextual bandit…☆90Updated 5 years ago
- Implementation of Bayesian NNs in Pytorch (https://arxiv.org/pdf/1703.02910.pdf) (With some help from https://github.com/Riashat/Deep-Ba…☆31Updated 4 years ago
- A general framework for learning spatio-temporal point processes via reinforcement learning☆30Updated 5 years ago
- Neural Decomposition Code for Time Series☆21Updated 7 years ago
- Python 3.6+ (only)☆114Updated 6 years ago
- Modeling Uncertainty in RNNs for Time Series Forecasting☆15Updated 8 years ago