notadamking / Stock-Trading-Environment
A custom OpenAI gym environment for simulating stock trades on historical price data.
☆790Updated 3 years ago
Related projects: ⓘ
- Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)☆528Updated 4 years ago
- Massively Parallel Deep Reinforcement Learning. 🔥☆3,638Updated this week
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,127Updated last year
- 🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2☆598Updated 2 years ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,133Updated 2 years ago
- ☆344Updated last year
- Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt☆1,128Updated 5 months ago
- Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019☆600Updated last year
- Reinforcement learning with tensorflow 2 keras☆250Updated 3 years ago
- Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code☆461Updated last month
- Reinforcement learning tutorials☆360Updated last year
- PyTorch Agent Net: reinforcement learning toolkit for pytorch☆529Updated 2 months ago
- Tensorflow 2 Reinforcement Learning Cookbook, published by Packt☆187Updated last year
- Markov Decision Processes, Dynamic Programming and Reinforcement Learning☆268Updated 3 years ago
- Minimal Deep Q Learning (DQN & DDQN) implementations in Keras☆1,278Updated 3 years ago
- A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents include…☆1,982Updated last month
- Repository for most of the code from my YouTube channel☆861Updated last year
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,052Updated 3 years ago
- Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆283Updated last year
- TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.☆2,775Updated last month
- Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.1"☆207Updated 3 years ago
- Reinforcement Learning Algorithms Based on PyTorch☆448Updated 2 years ago
- A library for ready-made reinforcement learning agents and reusable components for neat prototyping☆299Updated 7 months ago
- PyTorch implementation of deep reinforcement learning algorithms☆485Updated 2 years ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,251Updated 2 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,565Updated 2 years ago
- TensorFlow2 Reinforcement Learning☆465Updated 2 years ago
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,294Updated last month
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆1,840Updated 8 months ago
- Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]☆296Updated last year