Reinforcement learning algorithms for MuJoCo tasks
☆458Mar 13, 2025Updated last year
Alternatives and similar repositories for mjrl
Users that are interested in mjrl are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Repository to accompany RSS 2018 paper on dexterous hand manipulation☆314Apr 9, 2023Updated 3 years ago
- A unified framework for robot learning☆622Nov 26, 2024Updated last year
- Trajectory optimization algorithms for robotic control.☆122Nov 20, 2022Updated 3 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆190May 17, 2022Updated 3 years ago
- A collection of reference environments for offline reinforcement learning☆1,676Nov 18, 2024Updated last year
- 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.
- Collection of reinforcement learning algorithms☆2,899Jun 17, 2024Updated last year
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆475Jul 6, 2023Updated 2 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆543Nov 22, 2022Updated 3 years ago
- ☆399Jul 18, 2019Updated 6 years ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆371Mar 16, 2023Updated 3 years ago
- Proto-RL: Reinforcement Learning with Prototypical Representations☆86Jun 12, 2022Updated 3 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆663Apr 6, 2021Updated 5 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Sep 13, 2019Updated 6 years ago
- CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning☆603Oct 28, 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.
- Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning☆1,806Jan 20, 2026Updated 3 months ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆197Dec 8, 2022Updated 3 years ago
- Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.☆4,567Updated this week
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,425Nov 29, 2023Updated 2 years ago
- ☆99Mar 24, 2023Updated 3 years ago
- Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.☆882Oct 16, 2021Updated 4 years ago
- Library for Model Based RL☆1,061Jul 12, 2024Updated last year
- ☆115Jan 12, 2020Updated 6 years ago
- Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning☆218Dec 27, 2022Updated 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.
- Code for conservative Q-learning☆483Dec 7, 2021Updated 4 years ago
- JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.☆756Oct 26, 2022Updated 3 years ago
- An offline deep reinforcement learning library☆1,659Sep 10, 2025Updated 7 months ago
- A library of probabilistic model based RL algorithms in pytorch☆107Apr 14, 2021Updated 5 years ago
- A MuJoCo/Gym environment for robot control using Reinforcement Learning. The task of agents in this environment is pixel-wise prediction …☆668Nov 21, 2022Updated 3 years ago
- robosuite: A Modular Simulation Framework and Benchmark for Robot Learning☆2,392Mar 3, 2026Updated 2 months ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆506Dec 1, 2022Updated 3 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,281Feb 9, 2021Updated 5 years ago
- A collection of robotics simulation environments for reinforcement learning☆895Apr 20, 2026Updated 2 weeks ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Random parameter environments using gym 0.7.4 and mujoco-py 0.5.7☆20Feb 14, 2019Updated 7 years ago
- Model-Based Offline Reinforcement Learning☆51Jan 13, 2021Updated 5 years ago
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆157Aug 31, 2021Updated 4 years ago
- Official implementation for the paper "Offline Meta RL - Identifiability Challenges and Effective Data Collection Strategies", NeurIPS 20…☆31Nov 23, 2021Updated 4 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
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆272May 20, 2020Updated 5 years ago
- A large-scale benchmark and learning environment.☆1,760Jan 25, 2025Updated last year