PyTorch implementations of deep reinforcement learning algorithms and environments
☆5,929Jul 25, 2024Updated 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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,596Mar 24, 2023Updated 3 years ago
- Reinforcement Learning in PyTorch☆2,273Jan 4, 2021Updated 5 years ago
- An elegant PyTorch deep reinforcement learning library.☆10,413Dec 1, 2025Updated 3 months ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,886May 29, 2022Updated 3 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,419Apr 16, 2024Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book a…☆21,931Jul 13, 2023Updated 2 years ago
- OpenAI Baselines: high-quality implementations of reinforcement learning algorithms☆16,680Aug 1, 2024Updated last year
- An educational resource to help anyone learn deep reinforcement learning.☆11,673Aug 5, 2024Updated last year
- PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.☆12,982Mar 18, 2026Updated last week
- Collection of reinforcement learning algorithms☆2,884Jun 17, 2024Updated last year
- Python Implementation of Reinforcement Learning: An Introduction☆14,593Aug 9, 2024Updated last year
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,325Sep 4, 2022Updated 3 years ago
- Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone☆2,559Apr 11, 2022Updated 3 years ago
- Massively Parallel Deep Reinforcement Learning. 🔥☆4,307Feb 20, 2026Updated last month
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)☆3,170Apr 22, 2023Updated 2 years ago
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆2,017Updated this week
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆2,051Jul 14, 2023Updated 2 years ago
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,169Nov 4, 2021Updated 4 years ago
- Repo for the Deep Reinforcement Learning Nanodegree program☆5,153Nov 16, 2023Updated 2 years ago
- PyTorch implementation of SAC-Discrete.☆314Jul 25, 2024Updated last year
- Python Multi-Agent Reinforcement Learning framework☆2,168Dec 8, 2022Updated 3 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,273Feb 9, 2021Updated 5 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,080May 19, 2021Updated 4 years ago
- NordVPN Special Discount Offer • AdSave on top-rated NordVPN 1 or 2-year plans with secure browsing, privacy protection, and support for for all major platforms.
- PyTorch implementation of soft actor critic☆940Jul 17, 2025Updated 8 months ago
- Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillio…☆3,566May 25, 2024Updated last year
- High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, T…☆9,398Jul 8, 2025Updated 8 months ago
- Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学☆9,440Mar 31, 2024Updated last year
- Implementation of benchmark RL algorithms☆471Jul 20, 2022Updated 3 years ago
- Hands-on Deep Reinforcement Learning, published by Packt☆3,089Mar 2, 2026Updated 3 weeks ago
- Paper list of multi-agent reinforcement learning (MARL)☆4,770Feb 11, 2026Updated last month
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,417Nov 29, 2023Updated 2 years ago
- Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆2,741Apr 9, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- A toolkit for developing and comparing reinforcement learning algorithms.☆37,118Updated this week
- PyTorch implementation of Soft Actor-Critic (SAC)☆594Dec 5, 2021Updated 4 years ago
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,731Sep 8, 2022Updated 3 years ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,422Updated this week
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,336Mar 13, 2025Updated last year
- A collection of reference environments for offline reinforcement learning☆1,663Nov 18, 2024Updated last year
- Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch☆3,906May 2, 2023Updated 2 years ago