PacktPublishing / Deep-Reinforcement-Learning-Hands-On-Second-EditionLinks
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
☆1,257Updated last year
Alternatives and similar repositories for Deep-Reinforcement-Learning-Hands-On-Second-Edition
Users that are interested in Deep-Reinforcement-Learning-Hands-On-Second-Edition are comparing it to the libraries listed below
Sorting:
- Code from the Deep Reinforcement Learning in Action book from Manning, Inc☆817Updated last year
- Grokking Deep Reinforcement Learning☆971Updated 3 years ago
- Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019☆714Updated 2 years ago
- Hands-on Deep Reinforcement Learning, published by Packt☆3,042Updated last week
- Repository for most of the code from my YouTube channel☆929Updated 2 years ago
- 32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each projec…☆962Updated 4 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,308Updated 8 months ago
- ☆427Updated 2 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,078Updated 4 years ago
- A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents include…☆2,619Updated last month
- Reinforcement learning tutorials☆388Updated 2 years ago
- PyTorch Agent Net: reinforcement learning toolkit for pytorch☆548Updated last year
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,987Updated 2 years ago
- Hands-On Reinforcement Learning with Python, published by Packt☆830Updated 2 years ago
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆1,995Updated last month
- Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math☆448Updated 4 years ago
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆971Updated 5 months ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,312Updated last week
- Collection of reinforcement learning algorithms☆2,808Updated last year
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,188Updated 3 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,372Updated last year
- Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code☆661Updated last week
- Deep Reinforcement Learning with Python, Second Edition, published by Packt☆202Updated last week
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,360Updated last year
- A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-par…☆1,150Updated last year
- A toolkit for reproducible reinforcement learning research.☆2,047Updated 2 years ago
- 🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2☆609Updated 3 years ago
- A collection of reference environments for offline reinforcement learning☆1,609Updated last year
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,137Updated 4 years ago
- Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approxi…☆774Updated 6 years ago