facebookresearch / mbrl-lib
Library for Model Based RL
☆989Updated 8 months ago
Alternatives and similar repositories for mbrl-lib:
Users that are interested in mbrl-lib are comparing it to the libraries listed below
- [NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.☆817Updated 7 months ago
- A collection of reference environments for offline reinforcement learning☆1,453Updated 4 months ago
- JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.☆670Updated 2 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,280Updated last year
- Dream to Control: Learning Behaviors by Latent Imagination☆527Updated 3 years ago
- A Python interface for reinforcement learning environments☆362Updated 2 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆487Updated 2 years ago
- DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (…☆470Updated 11 months ago
- Clean PyTorch implementations of imitation and reward learning algorithms☆1,450Updated 2 months ago
- ☆1,152Updated 10 months ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆535Updated 3 years ago
- Imitation learning algorithms☆507Updated last week
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,203Updated 2 weeks ago
- Python library for Reinforcement Learning.☆861Updated this week
- RL Environments in JAX 🌍☆730Updated 8 months ago
- Tools for accelerating safe exploration research.☆523Updated 2 years ago
- CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning☆584Updated 4 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆486Updated 2 years ago
- Code for conservative Q-learning☆428Updated 3 years ago
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆445Updated last year
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,164Updated 2 years ago
- A curated list of awesome Deep Reinforcement Learning resources.☆740Updated 8 months ago
- Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning☆1,391Updated 2 weeks ago
- Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019☆648Updated last year
- Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.☆846Updated 3 years ago
- SBX: Stable Baselines Jax (SB3 + Jax) RL algorithms☆425Updated last week
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,181Updated 4 years ago
- Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...☆407Updated 3 years ago
- A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities☆371Updated last week
- Real-World RL Benchmark Suite☆352Updated 4 years ago