Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
☆3,191Apr 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)"☆177Apr 22, 2023Updated 3 years ago
- Reinforcement Learning in PyTorch☆2,273Jan 4, 2021Updated 5 years ago
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,931Jul 25, 2024Updated last year
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,896May 29, 2022Updated 3 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,426Apr 16, 2024Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, T…☆9,615Apr 20, 2026Updated last week
- Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillio…☆3,623May 25, 2024Updated last year
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆2,023Apr 13, 2026Updated 2 weeks ago
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,175Nov 4, 2021Updated 4 years ago
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,615Mar 24, 2023Updated 3 years ago
- OpenAI Baselines: high-quality implementations of reinforcement learning algorithms☆16,698Aug 1, 2024Updated last year
- Collection of reinforcement learning algorithms☆2,899Jun 17, 2024Updated last year
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,322Sep 4, 2022Updated 3 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,339Mar 13, 2025Updated last year
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,281Feb 9, 2021Updated 5 years ago
- An educational resource to help anyone learn deep reinforcement learning.☆11,735Aug 5, 2024Updated last year
- PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.☆13,145Apr 19, 2026Updated last week
- An elegant PyTorch deep reinforcement learning library.☆10,579Apr 3, 2026Updated 3 weeks ago
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆1,025May 30, 2025Updated 10 months ago
- Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book a…☆21,963Jul 13, 2023Updated 2 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,080May 19, 2021Updated 4 years ago
- Structural implementation of RL key algorithms☆517Apr 8, 2023Updated 3 years ago
- PyTorch implementation of deep reinforcement learning algorithms☆489Nov 19, 2021Updated 4 years ago
- AI Agents on 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.
- Python Implementation of Reinforcement Learning: An Introduction☆14,632Aug 9, 2024Updated last year
- Simple and easily configurable grid world environments for reinforcement learning☆2,435Updated this week
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,204Oct 17, 2022Updated 3 years ago
- ☆1,329May 27, 2024Updated last year
- Paper list of multi-agent reinforcement learning (MARL)☆4,800Feb 11, 2026Updated 2 months ago
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆722May 12, 2024Updated last year
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,422Nov 29, 2023Updated 2 years ago
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,540Mar 30, 2026Updated 3 weeks ago
- A toolkit for reproducible reinforcement learning research.☆2,096May 4, 2023Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch☆2,338Jul 9, 2024Updated last year
- Minimal and Clean Reinforcement Learning Examples☆3,629Mar 24, 2023Updated 3 years ago
- A collection of reference environments for offline reinforcement learning☆1,672Nov 18, 2024Updated last year
- A PyTorch Platform for Distributed RL☆752Sep 15, 2021Updated 4 years ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆2,060Jul 14, 2023Updated 2 years ago
- Massively Parallel Deep Reinforcement Learning. 🔥☆4,317Feb 20, 2026Updated 2 months ago
- A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)☆3,694Apr 20, 2026Updated last week