p-christ / Deep-Reinforcement-Learning-Algorithms-with-PyTorchLinks
PyTorch implementations of deep reinforcement learning algorithms and environments
☆5,894Updated last year
Alternatives and similar repositories for Deep-Reinforcement-Learning-Algorithms-with-PyTorch
Users that are interested in Deep-Reinforcement-Learning-Algorithms-with-PyTorch are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,496Updated 2 years ago
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆1,995Updated last month
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,851Updated 3 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,375Updated last year
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,138Updated 4 years ago
- Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)☆3,097Updated 2 years ago
- Reinforcement Learning in PyTorch☆2,267Updated 4 years ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,315Updated 3 years ago
- Collection of reinforcement learning algorithms☆2,808Updated last year
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,987Updated 2 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,078Updated 4 years ago
- Repo for the Deep Reinforcement Learning Nanodegree program☆5,118Updated 2 years ago
- Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch☆2,234Updated last year
- 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
- Hands-on Deep Reinforcement Learning, published by Packt☆3,042Updated last week
- Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone☆2,535Updated 3 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,657Updated 3 years ago
- Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch☆3,888Updated 2 years ago
- Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillio…☆3,496Updated last year
- Python Multi-Agent Reinforcement Learning framework☆2,112Updated 2 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,257Updated 4 years ago
- An elegant PyTorch deep reinforcement learning library.☆8,931Updated this week
- Massively Parallel Deep Reinforcement Learning. 🔥☆4,228Updated 3 weeks ago
- Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt☆1,257Updated last year
- Python Implementation of Reinforcement Learning: An Introduction☆14,408Updated last year
- A toolkit for reproducible reinforcement learning research.☆2,047Updated 2 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,300Updated 6 years ago
- For deep RL and the future of AI.☆1,485Updated last year
- PFRL: a PyTorch-based deep reinforcement learning library☆1,250Updated last year
- Source codes for the book "Reinforcement Learning: Theory and Python Implementation"☆997Updated 3 weeks ago