PacktPublishing / Deep-Reinforcement-Learning-Hands-OnLinks
Hands-on Deep Reinforcement Learning, published by Packt
☆3,023Updated 4 months ago
Alternatives and similar repositories for Deep-Reinforcement-Learning-Hands-On
Users that are interested in Deep-Reinforcement-Learning-Hands-On are comparing it to the libraries listed below
Sorting:
- Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt☆1,242Updated last year
- Hands-On Reinforcement Learning with Python, published by Packt☆827Updated 2 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,344Updated last year
- Code from the Deep Reinforcement Learning in Action book from Manning, Inc☆807Updated last year
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,299Updated this week
- Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch☆3,877Updated 2 years ago
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,874Updated last year
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,079Updated 4 years ago
- Repo for the Deep Reinforcement Learning Nanodegree program☆5,102Updated last year
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,127Updated 3 years ago
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆1,982Updated 3 months ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,309Updated 3 years ago
- Collection of reinforcement learning algorithms☆2,765Updated last year
- Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow☆860Updated 4 years ago
- Minimal and Clean Reinforcement Learning Examples☆3,577Updated 2 years ago
- Grokking Deep Reinforcement Learning☆956Updated 3 years ago
- Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.☆830Updated 3 years ago
- PyTorch Agent Net: reinforcement learning toolkit for pytorch☆547Updated 10 months ago
- For deep RL and the future of AI.☆1,479Updated last year
- TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.☆2,957Updated 3 months ago
- Assignments for CS294-112.☆1,615Updated 2 years ago
- A toolkit for reproducible reinforcement learning research.☆2,023Updated 2 years ago
- Repository for most of the code from my YouTube channel☆921Updated 2 years ago
- Reinforcement Learning in PyTorch☆2,266Updated 4 years ago
- Minimal Deep Q Learning (DQN & DDQN) implementations in Keras☆1,306Updated 4 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,182Updated 2 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,829Updated 3 years ago
- Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind☆844Updated 6 years ago
- Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)☆3,065Updated 2 years ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,955Updated 2 years ago