Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
☆3,233Apr 22, 2023Updated 3 years ago
Alternatives and similar repositories for minimalRL
Users that are interested in minimalRL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- provides all the codes from the book "RL from basics(바닥부터 배우는 강화학습)"☆179Apr 22, 2023Updated 3 years ago
- Reinforcement Learning in PyTorch☆2,276Jan 4, 2021Updated 5 years ago
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,940Jul 25, 2024Updated 2 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,904May 29, 2022Updated 4 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,456Apr 16, 2024Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, T…☆10,490Apr 20, 2026Updated 5 months ago
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆2,035Jun 20, 2026Updated 3 months ago
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,181Nov 4, 2021Updated 4 years ago
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,653Mar 24, 2023Updated 3 years ago
- OpenAI Baselines: high-quality implementations of reinforcement learning algorithms☆16,767Aug 1, 2024Updated 2 years ago
- Collection of reinforcement learning algorithms☆2,939Jun 17, 2024Updated 2 years ago
- Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillio…☆5,862Sep 14, 2026Updated 3 weeks ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,328Sep 4, 2022Updated 4 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,363Mar 13, 2025Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,286Feb 9, 2021Updated 5 years ago
- An educational resource to help anyone learn deep reinforcement learning.☆11,981Aug 5, 2024Updated 2 years ago
- PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.☆13,864Sep 9, 2026Updated 3 weeks ago
- An elegant PyTorch deep reinforcement learning library.☆11,006Apr 3, 2026Updated 6 months ago
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆1,038Jul 17, 2026Updated 2 months ago
- Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book a…☆22,143Jul 13, 2023Updated 3 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,079May 19, 2021Updated 5 years ago
- Structural implementation of RL key algorithms☆518Apr 8, 2023Updated 3 years ago
- PyTorch implementation of deep reinforcement learning algorithms☆487Nov 19, 2021Updated 4 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Python Implementation of Reinforcement Learning: An Introduction☆14,772Aug 9, 2024Updated 2 years ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,516Sep 10, 2026Updated 3 weeks ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,203Oct 17, 2022Updated 3 years ago
- ☆1,362May 27, 2024Updated 2 years ago
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆728May 12, 2024Updated 2 years ago
- Paper list of multi-agent reinforcement learning (MARL)☆4,880Feb 11, 2026Updated 7 months ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,438Nov 29, 2023Updated 2 years ago
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,560Sep 9, 2026Updated 3 weeks ago
- A toolkit for reproducible reinforcement learning research.☆2,131May 4, 2023Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch☆2,385Jul 9, 2024Updated 2 years ago
- Minimal and Clean Reinforcement Learning Examples☆3,667Jun 12, 2026Updated 3 months ago
- A collection of reference environments for offline reinforcement learning☆1,709Nov 18, 2024Updated last year
- A PyTorch Platform for Distributed RL☆756Sep 15, 2021Updated 5 years ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆2,112Jul 14, 2023Updated 3 years ago
- A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)☆3,719Sep 1, 2026Updated last month
- Massively Parallel Deep Reinforcement Learning. 🔥☆4,367Feb 20, 2026Updated 7 months ago