RobertTLange / reading-notes-mlLinks
Progress, Notes, Summaries and a lot of Questions on Machine Learning
☆55Updated 6 years ago
Alternatives and similar repositories for reading-notes-ml
Users that are interested in reading-notes-ml are comparing it to the libraries listed below
Sorting:
- Mixture Density Networks (Bishop, 1994) tutorial in JAX☆61Updated 5 years ago
- Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.☆80Updated 2 years ago
- Some small scale experiments for my blog posts 📝☆80Updated 3 years ago
- Explore the optimization landscape for direct policy learning reinforcement learning.☆51Updated 7 years ago
- A curated list of papers presented in the 📖"Flexible Learning Reading Group" @ TU Berlin. Join us! 🤗☆27Updated 5 years ago
- This project was moved to: https://github.com/coax-dev/coax☆161Updated 3 years ago
- Implementation of Model-Agnostic Meta-Learning (MAML) in Jax☆191Updated 3 years ago
- Functional machine learning for fun☆85Updated 4 years ago
- ☆80Updated 2 years ago
- Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).☆90Updated 6 years ago
- Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.☆79Updated 5 years ago
- Reinforcement learning library in JAX.☆100Updated 2 years ago
- PyTorch code to train and evaluate Procgen tasks☆25Updated 5 years ago
- Reinforcement learning algorithms☆41Updated 6 years ago
- Reinforcement learning algorithms in RLlib☆59Updated last year
- fork of rl-baseline-zoo☆21Updated 5 years ago
- Generic reinforcement learning codebase in TensorFlow☆95Updated 4 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆64Updated 2 years ago
- A collection of LaTeX shortcuts for commonly used mathematical expressions in machine learning.☆58Updated 6 years ago
- ☆31Updated 7 years ago
- A collection of code investigating the use of information theory for abstractions in RL☆16Updated 7 years ago
- A library for reinforcement learning research☆57Updated last year
- Simple tools for statistical analyses in RL experiments☆67Updated 7 years ago
- PyTorch port and extension of the Deep Bayesian Bandits Library☆43Updated 6 years ago
- A framework for experimenting with never-ending learning☆81Updated last year
- ☆53Updated 5 years ago
- Reinforcement Learning Assembly☆92Updated 4 years ago
- A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning☆97Updated 5 years ago
- Bayesian Bandits☆68Updated 2 years ago
- Performant, differentiable reinforcement learning☆125Updated 6 months ago