brianspiering / rl-courseLinks
Applied Reinforcement Learning course
☆12Updated 2 years ago
Alternatives and similar repositories for rl-course
Users that are interested in rl-course are comparing it to the libraries listed below
Sorting:
- A beginner friendly repository for getting started with adversarial machine learning in PyTorch☆25Updated 3 years ago
- Transformers, Graph Neural Networks, PySpark, Neural Cellular Automata, FB Prophet, Google Cloud, NLP codes, Ethical Hacking and C Langua…☆58Updated 7 months ago
- This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This not…☆48Updated 4 years ago
- All the source codes and lectures of reinforcement learning.☆31Updated 5 years ago
- Implementing Time Series Auto Regressive Model (AR Model) from Scratch in Python☆15Updated 4 years ago
- Reinforcement Learning - Implementation of Exercises, algorithms from the book Sutton Barto and David silver's RL course in Python, OpenA…☆25Updated 5 years ago
- (Silver medal - 60th place - Top 3%) Repository for the "Tweet Sentiment Extraction" Kaggle competition.☆10Updated 5 years ago
- Contains notebooks prepared for ML Bootcamp organized by Google Developers Launchpad.☆53Updated 5 years ago
- Writing Primer for Data Scientists☆18Updated 5 years ago
- Reinforcement learning demo with slides in David Silver RL lectures☆13Updated 7 years ago
- Study of entanglement and Shannon entropies in Quantum Reinforcement Learning (and its classical counterpart) in a discrete environment.☆18Updated 3 years ago
- 🔬 Sharing your data science notebooks with the community has never been this easy.☆39Updated 2 years ago
- This publication on medium solves DL datasets with neural nets (Complete analysis of data sets)☆10Updated 2 years ago
- ☆38Updated 3 years ago
- This is a self-contained repository to explain two basic Reinforcement (RL) algorithms.☆81Updated 9 months ago
- Multilingual emotion analysis research☆21Updated last year
- Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…☆65Updated 7 months ago
- ☆17Updated 8 months ago
- PennyLane/PyTorch implementation of Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning (Skolik et al., 2021)☆37Updated 2 years ago
- Cheatsheet of Reinforcement Learning (Based on Sutton-Barto Book - 2nd Edition)☆53Updated 4 years ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆86Updated 2 years ago
- Assignments for the NLP Specialization on Coursera.☆9Updated 4 years ago
- Counterfactual SHAP: a framework for counterfactual feature importance☆20Updated last year
- Papers, code and slides for my session at the live@manning NLP conference, 2020 covering my talk on Deep Transfer Learning for Natural La…☆36Updated 4 years ago
- Parameterising Simulated Annealing for the Travelling Salesman Problem☆59Updated 3 years ago
- We propose an evolution-based approach to meta-learn synthetic neural environments and reward neural networks for reinforcement learning.☆21Updated 2 years ago
- Implementation of proof of concept quantum enhanced reinforced learning algorithm, able to find the sequence of quantum gates needed to a…☆11Updated 3 years ago
- ☆20Updated last year
- Materials for conference talks and workshops☆31Updated last month
- In this repository, we try to solve musculoskeletal tasks with `Double DQN reinforcement learning` by using a `transformer` model has bee…☆16Updated last year