PacktPublishing / Deep-Reinforcement-Learning-Hands-On-Second-EditionLinks
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
☆1,248Updated 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☆809Updated last year
- Hands-on Deep Reinforcement Learning, published by Packt☆3,029Updated 4 months ago
- Grokking Deep Reinforcement Learning☆960Updated 3 years ago
- Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019☆711Updated 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…☆947Updated 4 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,286Updated 6 months ago
- Reinforcement learning tutorials☆388Updated 2 years ago
- ☆425Updated 2 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,078Updated 4 years ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,959Updated 2 years ago
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆1,984Updated last week
- Repository for most of the code from my YouTube channel☆926Updated 2 years ago
- Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math☆438Updated 4 years ago
- Hands-On Reinforcement Learning with Python, published by Packt☆827Updated 2 years ago
- PyTorch Agent Net: reinforcement learning toolkit for pytorch☆547Updated 11 months ago
- A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents include…☆2,567Updated last month
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆965Updated 4 months ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,304Updated this week
- Collection of reinforcement learning algorithms☆2,776Updated last year
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,184Updated 2 years ago
- Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.☆831Updated 3 years ago
- Deep Reinforcement Learning with Python, Second Edition, published by Packt☆200Updated last month
- Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch☆2,184Updated last year
- Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approxi…☆766Updated 6 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,347Updated last year
- 🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2☆609Updated 3 years ago
- A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-par…☆1,107Updated last year
- Notes and exercise solutions for second edition of Sutton & Barto's book☆395Updated 3 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,249Updated 4 years ago
- Python Multi-Agent Reinforcement Learning framework☆2,086Updated 2 years ago