VXU1230 / Medium-Tutorials
☆46Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for Medium-Tutorials
- This repository contains the game bubble shooter as a gym environment. Based on: https://github.com/justinmeister/bubbleshooter☆17Updated 4 years ago
- Evolving deep neural network agents using Genetic Algorithms☆66Updated 5 years ago
- Thompson Sampling Tutorial☆51Updated 5 years ago
- My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.☆36Updated last year
- PyTorch 1.x Reinforcement Learning Cookbook, published by Packt☆96Updated last year
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆96Updated 5 years ago
- Industrial Benchmark☆126Updated last year
- Tabular Reinforcement Learning Algorithms with NumPy & Visualizations with Seaborn☆18Updated 6 years ago
- RLlib tutorials☆64Updated 2 years ago
- stable-baselines for TF2.x☆22Updated 2 years ago
- Code repository for my course on the fundamentals of reinforcement learning☆92Updated 5 years ago
- Tensorflow 2 Reinforcement Learning Cookbook, published by Packt☆190Updated last year
- Some notebooks☆64Updated 3 years ago
- ☆72Updated last year
- A library for ready-made reinforcement learning agents and reusable components for neat prototyping☆299Updated 9 months ago
- 🐳 Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.☆67Updated 3 years ago
- My implementation of the Proximal Policy Optisation algorithm using Keras as a backend☆88Updated 5 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆95Updated 3 years ago
- My solutions to UC Berkeley CS285 (originally CS294-112, deeprlcourse) Fall 2019 assignments☆117Updated 2 years ago
- Some example code for the "Introduction to Bayesian Reinforcement Learning" presentations☆29Updated 5 years ago
- Mastering Reinforcement Learning with Python, published by Packt☆147Updated last year
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆50Updated 3 years ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆73Updated 4 years ago
- A repository for code of reinforcement learning algorithms with PyTorch☆29Updated 3 years ago
- Feature selection for maximizing expected cumulative reward☆29Updated 6 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆120Updated 3 years ago
- Reinforcement Learning with TensorFlow, published by Packt☆39Updated last year
- Proximal Policy Optimization with Beta distribution - uses multi agent Unity ML Tennis☆28Updated 5 years ago
- Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow☆101Updated 4 years ago
- ☆181Updated 2 years ago