A toolkit for reproducible reinforcement learning research.
☆2,115May 4, 2023Updated 3 years ago
Alternatives and similar repositories for garage
Users that are interested in garage are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆3,071Jun 10, 2023Updated 3 years ago
- Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning☆1,855Updated this week
- OpenAI Baselines: high-quality implementations of reinforcement learning algorithms☆16,746Aug 1, 2024Updated last year
- Collection of reinforcement learning algorithms☆2,920Jun 17, 2024Updated 2 years ago
- Reinforcement Learning in PyTorch☆2,278Jan 4, 2021Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,333Sep 4, 2022Updated 3 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,434Nov 29, 2023Updated 2 years ago
- An educational resource to help anyone learn deep reinforcement learning.☆11,861Aug 5, 2024Updated last year
- PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.☆13,597Updated this week
- A collection of reference environments for offline reinforcement learning☆1,695Nov 18, 2024Updated last year
- Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.☆4,641Updated this week
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,902May 29, 2022Updated 4 years ago
- A library of reinforcement learning components and agents☆4,019Jul 3, 2026Updated 2 weeks ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,483Updated this week
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,204Oct 17, 2022Updated 3 years ago
- A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)☆3,707Jul 13, 2026Updated last week
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,551Jul 2, 2026Updated 2 weeks ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆512Dec 1, 2022Updated 3 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆248Sep 30, 2022Updated 3 years ago
- Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch☆884Dec 27, 2022Updated 3 years ago
- Real-World RL Benchmark Suite☆365Aug 11, 2020Updated 5 years ago
- Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.☆10,885Mar 24, 2026Updated 3 months ago
- Library for Model Based RL☆1,065Jul 12, 2024Updated 2 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, T…☆10,136Apr 20, 2026Updated 3 months ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆558Nov 22, 2022Updated 3 years ago
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆475Jul 6, 2023Updated 3 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆667Apr 6, 2021Updated 5 years ago
- A large-scale benchmark and learning environment.☆1,800Jan 25, 2025Updated last year
- ☆367Oct 12, 2022Updated 3 years ago
- Multitask Environments for RL☆283Aug 23, 2021Updated 4 years ago
- Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.☆880Oct 16, 2021Updated 4 years ago
- An offline deep reinforcement learning library☆1,674Sep 10, 2025Updated 10 months 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.
- Massively parallel rigidbody physics simulation on accelerator hardware.☆3,206Jul 9, 2026Updated last week
- An elegant PyTorch deep reinforcement learning library.☆10,878Apr 3, 2026Updated 3 months ago
- A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities☆3,476Updated this week
- TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.☆3,021Jan 16, 2026Updated 6 months ago
- Clone of OpenAI's Spinning Up in PyTorch☆157Apr 19, 2022Updated 4 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,433Apr 16, 2024Updated 2 years ago
- Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning☆218Dec 27, 2022Updated 3 years ago