epignatelli / reinforcement-learning-an-introductionLinks
A python implementation of the concepts in the book "Reinforcement Learning: An Introduction" by R.S. Sutton and A. G. Barto.
☆18Updated 5 years ago
Alternatives and similar repositories for reinforcement-learning-an-introduction
Users that are interested in reinforcement-learning-an-introduction are comparing it to the libraries listed below
Sorting:
- ☆89Updated 2 years ago
- This is a self-contained repository to explain two basic Reinforcement (RL) algorithms.☆83Updated last year
- Tabular Reinforcement Learning Algorithms with NumPy & Visualizations with Seaborn☆20Updated 7 years ago
- Yet another mini autodiff system for educational purposes☆30Updated last month
- Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)☆51Updated 4 years ago
- Simple illustrative examples for energy-based models in PyTorch☆68Updated 5 years ago
- code for the ddp tutorial☆32Updated 3 years ago
- Cheatsheet of Reinforcement Learning (Based on Sutton-Barto Book - 2nd Edition)☆58Updated 4 years ago
- PyHopper is a hyperparameter optimizer, made specifically for high-dimensional problems arising in machine learning research.☆85Updated last year
- ☆87Updated 2 years ago
- Basic guidance on how to contribute to Papers with Code☆24Updated 3 years ago
- Mastering Reinforcement Learning with Python, published by Packt☆172Updated last month
- This is a practical resource that makes it easier to learn about and apply Practical Deep Reinforcement Learning (DRL) https://ibrahimsob…☆99Updated 5 years ago
- Some small scale experiments for my blog posts 📝☆79Updated 3 years ago
- A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for l…☆159Updated 4 years ago
- A tour of different optimization algorithms in PyTorch.☆99Updated 4 years ago
- Plug-and-play hydra sweepers for the EA-based multifidelity method DEHB and several population-based training variations, all proven to e…☆85Updated 2 years ago
- Supplementary Data for Evolving Reinforcement Learning Algorithms☆47Updated 4 years ago
- Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…☆70Updated 2 months ago
- Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …☆66Updated 5 years ago
- GBRL-based Actor-Critic algorithms implemented in stable-baselines3☆40Updated last month
- ☆36Updated 3 years ago
- Benchmark time series data sets for PyTorch☆36Updated last year
- Hopfield network implemented with Python☆96Updated 5 years ago
- Official code for the paper "Context-Aware Language Modeling for Goal-Oriented Dialogue Systems"☆34Updated 3 years ago
- ☆192Updated 5 months ago
- TensorFlow Probability Tutorial☆38Updated 6 years ago
- ☆32Updated 3 years ago
- https://cs330.stanford.edu/☆62Updated 2 years ago
- Reinforcement Learning Algorithms with Python, Published by Packt☆187Updated 2 years ago