Structural implementation of RL key algorithms
☆517Apr 8, 2023Updated 3 years ago
Alternatives and similar repositories for rl_algorithms
Users that are interested in rl_algorithms are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆1,038Jul 17, 2026Updated 2 months ago
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆2,034Jun 20, 2026Updated 3 months ago
- RLtime is a reinforcement learning library focused on state-of-the-art q-learning algorithms and features☆143Sep 23, 2019Updated 6 years ago
- Repository for slides & codes of RL Korea Bootcamp☆41Oct 28, 2019Updated 6 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆97Dec 8, 2020Updated 5 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.
- A library for ready-made reinforcement learning agents and reusable components for neat prototyping☆303Feb 13, 2024Updated 2 years ago
- Reinforcement Learning in PyTorch☆2,277Jan 4, 2021Updated 5 years ago
- Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)☆3,231Apr 22, 2023Updated 3 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,287Feb 9, 2021Updated 5 years ago
- Collection of reinforcement learning algorithms☆2,936Jun 17, 2024Updated 2 years ago
- A reinforcement learning framework☆157Dec 26, 2018Updated 7 years ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,330Sep 4, 2022Updated 4 years ago
- implementation of distributed reinforcement learning with distributed tensorflow☆57Jun 5, 2021Updated 5 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,079May 19, 2021Updated 5 years ago
- 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.
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,674Jan 13, 2022Updated 4 years ago
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,178Nov 4, 2021Updated 4 years ago
- Deep Planning Network: Control from pixels by latent planning with learned dynamics☆380Oct 15, 2021Updated 4 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆334Nov 24, 2021Updated 4 years ago
- PyTorch Implementation of Distributed Prioritized Experience Replay(Ape-X)☆155Apr 28, 2019Updated 7 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆95Jul 27, 2022Updated 4 years ago
- Code for the paper "Exploration by Random Network Distillation"☆929Oct 1, 2020Updated 5 years ago
- ☆56Mar 27, 2019Updated 7 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,903May 29, 2022Updated 4 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.
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆338Mar 24, 2023Updated 3 years ago
- Summary (in Korean) and python implementation of 'Reinforcement Learning: An Introduction' written by Sutton & Barto☆58Aug 5, 2018Updated 8 years ago
- ☆39Jan 8, 2020Updated 6 years ago
- Reinforcement learning algorithms for MuJoCo tasks☆468Jul 20, 2026Updated 2 months ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,439Nov 29, 2023Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,359Mar 13, 2025Updated last year
- RAD: Reinforcement Learning with Augmented Data☆416Mar 29, 2021Updated 5 years ago
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,559Sep 9, 2026Updated last week
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆561Jun 26, 2023Updated 3 years ago
- 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.
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆562Nov 22, 2022Updated 3 years ago
- OpenAI Gym wrapper for the DeepMind Control Suite☆229May 19, 2024Updated 2 years ago
- A PyTorch Library for Reinforcement Learning Research☆196Jun 22, 2025Updated last year
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,938Jul 25, 2024Updated 2 years ago
- ☆40Jul 29, 2019Updated 7 years ago
- DrQ: Data regularized Q☆422Jan 13, 2023Updated 3 years ago
- Simulate binance fee mechanism by RL agents☆33Sep 20, 2019Updated 7 years ago