jettdlee / 10_armed_bandit
β21Updated 6 years ago
Alternatives and similar repositories for 10_armed_bandit:
Users that are interested in 10_armed_bandit are comparing it to the libraries listed below
- Some notebooksβ64Updated 3 years ago
- π Paper: Deep Reinforcement Learning with Double Q-learning πΉοΈβ51Updated 10 months ago
- Tabular Reinforcement Learning Algorithms with NumPy & Visualizations with Seabornβ18Updated 6 years ago
- Notes on many interesting RL papersβ26Updated 5 years ago
- Hands-on Reinforcement Learning with PyTorch, published by [Packt]β52Updated 4 years ago
- Cheatsheet of Reinforcement Learning (Based on Sutton-Barto Book - 2nd Edition)β50Updated 3 years ago
- PyTorch 1.x Reinforcement Learning Cookbook, published by Packtβ97Updated 2 years ago
- My Solution to the Programming Assignments for Practical Reinforcement Learning from Courseraβ67Updated 4 years ago
- Reinforcement Learning examples implementation and explanationβ330Updated 8 months ago
- My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflowβ54Updated 3 years ago
- stable-baselines for TF2.xβ22Updated 3 years ago
- Keras implementation of DQN for the MsPacman-v0 OpenAI Gym environment.β39Updated 2 years ago
- Implementation of Deep/Double Deep/Dueling Deep Q networks for playing Atari games using Keras and OpenAI gymβ40Updated 6 years ago
- Implementation of various multi-armed bandits algorithms on a 10-arm testbed.β38Updated 5 years ago
- Keras Reinforcement Learning Projects published by Packtβ50Updated 2 years ago
- Pytorch implementation of the Deep Deterministic Policy Gradients for Continuous Controlβ26Updated 2 years ago
- This is a pip package implementing Reinforcement Learning algorithms in non-stationary environments supported by the OpenAI Gym toolkit.β31Updated 5 years ago
- Solutions to the Deep RL Bootcamp labsβ44Updated 7 years ago
- Reinforcement Learning Algorithms with Python, Published by Packtβ181Updated 2 years ago
- Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).β89Updated 5 years ago
- Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch fraβ¦β136Updated 2 years ago
- Reinforcement Learning with TensorFlow, published by Packtβ42Updated 2 years ago
- Evolving deep neural network agents using Genetic Algorithmsβ67Updated 6 years ago
- This repository provides the code examples for the corresponding blog posts. In case you have questions, feel free to contact me directlyβ¦β51Updated 3 years ago
- Hands-On Reinforcement Learning for Games, published by Packtβ59Updated 2 years ago
- For the tutorial blogpostβ74Updated 2 years ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.β78Updated 4 years ago
- A collection of black-box optimizers with a focus on evolutionary algorithmsβ27Updated 5 years ago
- OpenAI Gym wrapper for Metacar: A reinforcement learning environment for self-driving cars in the browser.β45Updated 5 years ago
- This repo is for a reinforcement learning project using citiBike dataβ28Updated 5 years ago