facebookresearch / mbrl-lib
Library for Model Based RL
☆986Updated 7 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.☆807Updated 6 months ago
- A collection of reference environments for offline reinforcement learning☆1,420Updated 3 months ago
- JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.☆659Updated 2 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,270Updated last year
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆544Updated last year
- DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (…☆465Updated 10 months ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆483Updated 2 years ago
- ☆1,126Updated 9 months ago
- Clean PyTorch implementations of imitation and reward learning algorithms☆1,419Updated last month
- Python library for Reinforcement Learning.☆859Updated 2 weeks ago
- Code for conservative Q-learning☆424Updated 3 years ago
- Imitation learning algorithms☆497Updated 7 months ago
- Dream to Control: Learning Behaviors by Latent Imagination☆525Updated 3 years ago
- A Python interface for reinforcement learning environments☆356Updated 2 years ago
- Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning☆1,353Updated 3 months ago
- C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.☆1,129Updated 6 months ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,182Updated last year
- Real-World RL Benchmark Suite☆352Updated 4 years ago
- Tools for accelerating safe exploration research.☆518Updated last year
- ☆389Updated 5 years ago
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆442Updated last year
- RL Environments in JAX 🌍☆709Updated 7 months ago
- A PyTorch library for building deep reinforcement learning agents.☆651Updated 11 months ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆527Updated 3 years ago
- Tonic RL library☆406Updated 7 months ago
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆405Updated last year
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆669Updated 9 months ago
- CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning☆579Updated 4 years ago
- Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆291Updated last year
- High throughput synchronous and asynchronous reinforcement learning☆872Updated 2 months ago