PacktPublishing / Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
☆2,848Updated last year
Related projects ⓘ
Alternatives and complementary repositories for Deep-Reinforcement-Learning-Hands-On
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,186Updated 6 months ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,155Updated 2 years ago
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,027Updated 3 years ago
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆1,869Updated 9 months ago
- Reinforcement Learning in PyTorch☆2,233Updated 3 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,054Updated 3 years ago
- Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt☆1,157Updated 7 months ago
- Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch☆3,784Updated last year
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,585Updated 2 years ago
- Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow☆839Updated 4 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,594Updated 2 years ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,256Updated 2 years ago
- Repo for the Deep Reinforcement Learning Nanodegree program☆4,884Updated 11 months ago
- Hands-On Reinforcement Learning with Python, published by Packt☆785Updated last year
- PyTorch Agent Net: reinforcement learning toolkit for pytorch☆529Updated last week
- A toolkit for reproducible reinforcement learning research.☆1,878Updated last year
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,133Updated 2 years ago
- Minimal and Clean Reinforcement Learning Examples☆3,372Updated last year
- Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)☆2,874Updated last year
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,636Updated 3 months ago
- Collection of reinforcement learning algorithms☆2,498Updated 4 months ago
- Repository for most of the code from my YouTube channel☆866Updated last year
- Python Implementation of Reinforcement Learning: An Introduction☆13,580Updated 3 months ago
- Assignments for CS294-112.☆1,567Updated last year
- For deep RL and the future of AI.☆1,420Updated 8 months ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,120Updated 11 months ago
- Code from the Deep Reinforcement Learning in Action book from Manning, Inc☆746Updated 6 months ago
- TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.☆2,797Updated last month
- Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillio…☆3,292Updated 5 months ago
- TensorFlow Reinforcement Learning☆3,134Updated last year