PacktPublishing / Deep-Reinforcement-Learning-Hands-On-Second-EditionLinks
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
☆1,255Updated 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☆812Updated last year
- Grokking Deep Reinforcement Learning☆964Updated 3 years ago
- Hands-on Deep Reinforcement Learning, published by Packt☆3,035Updated 5 months ago
- Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019☆710Updated 2 years ago
- Repository for most of the code from my YouTube channel☆927Updated 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…☆951Updated 4 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,293Updated 7 months ago
- Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math☆445Updated 4 years ago
- ☆426Updated 2 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,077Updated 4 years ago
- PyTorch Agent Net: reinforcement learning toolkit for pytorch☆548Updated last year
- Reinforcement learning tutorials☆388Updated 2 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,187Updated 3 years ago
- Collection of reinforcement learning algorithms☆2,790Updated last year
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,309Updated this week
- 🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2☆609Updated 3 years ago
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆1,986Updated last month
- A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents include…☆2,593Updated last week
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆967Updated 4 months ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,972Updated 2 years ago
- Solutions to exercises in Reinforcement Learning: An Introduction (2nd Edition).☆390Updated 2 years ago
- Hands-On Reinforcement Learning with Python, published by Packt☆828Updated 2 years ago
- A toolkit for reproducible reinforcement learning research.☆2,038Updated 2 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,351Updated last year
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,364Updated last year
- Deep Reinforcement Learning with Python, Second Edition, published by Packt☆201Updated last month
- Notes and exercise solutions for second edition of Sutton & Barto's book☆397Updated 3 years ago
- Source codes for the book "Reinforcement Learning: Theory and Python Implementation"☆989Updated 3 months ago
- Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.☆835Updated 3 years ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,341Updated last month